SlideShare une entreprise Scribd logo
1  sur  100
GREENHOUSE PRODUCTION
MANAGEMENT
Tomato and bell peppers
1Artin Demiri 22.6.2015
Preface
 Let me start the
presentation by laying
down a question: is it
possible to increase
production in
greenhouses without
increasing the cost?
 ….I will say yes!
2Artin Demiri
 Combining and
harmonizing all the
factors while growing
vegetables in a
greenhouse with mid
tech technology, that
target will be realized
successfully.
22.6.2015
Overview
Specific expenses
1-Heat
2-Labour
3-Nutrition+IPM
3Artin Demiri 22.6.2015
Artin Demiri 4
Greenhouse vegetables
OPERATION COST AND RENTABILITY
22.6.2015
 Desire for keeping a tight budget,
appropriate to all the steps for a
better production practice, made
me aware of the importance of
dealing with statistics and judge
the situation from the viewpoint
of improvement.
 Progressive steps and generating
positive ideas, and should be
seen as tools to improve the
situation, being as productive as
is necessary.
Knowing the situation
To have a good understanding of
the greenhouse vegetable
situation, I have been focused on
specific data provided by OGVG.
Observing over that data, I created
my opinion about the expenses
and the production of greenhouse
vegetables in Ontario for at least
five years. I also kept an eye on
statistics Canada about the
situation of greenhouse vegetables
in Ontario, production and
expense, as well as sales. With the
aim to calculate narrowing of
difference output/input and to
have a maximized net profit, I
overviewed the average expenses
of the production vegetables
greenhouses in Ontario.
Artin Demiri 522.6.2015
Real average gross profit m2 in greenhouses
of Ontario
Data provided in those
tables, is a summary of
data presented by OGVG
for years 2009, 2010 and
2011,2012 and OMAF/MRA
Based on that evidence
about the farm gate sale
and the total greenhouse
acreage in Ontario for four
consecutive years, easily
the gross profit/m2 could
be calculated.
(Fact sheet 2010,2011,
2012,2013
OGVG)
statistics Canada,
Catalogue No. 22-202-X
Farm
Gate
Sale
Acreage
Tomato
Peppers
Cucies
Gross
Profit
/m2
Consecut
ive
increase
Sales
Consecut
ive
increase
Acreage
2009 608 1824 82.3 N/A N/A
2010 641 1919 82.5 6 % 5 %
2011
2012
2013
2014
698
673
783
839
2067
2272
2400
2550
83.4
73.2
80.5
81.3
8 %
-4 %
14%
6%
7 %
8 %
5.5 %
6.7%
Artin Demiri 6
Author
:
Siva
Mailvaganam -
Statistician -
OMAF/MRA 2009 608
Last
Review
ed :
April 2015
2010 667
2011 700
2012 673
2013 783
2014 839
22.6.2015
Ontario greenhouse acreage
Acreage and gross
profit /m2 for four
consecutive years
Acreage chart 011,012,013,014
22.6.2015Artin Demiri 7
acre tom pep cucs
2011 893 603 571
2012 865 753 654
2013 921 819 658
2014 936 891 726
gross
profit/
m2 tom pep cucs
2011 78 77.5 93.8
2012 73.6 65 76.8
2013 84.5 73.3 84
2014 86.7 75 82
0
100
200
300
400
500
600
700
800
900
1000
2011 2012 2013 2014
tomato
peppers
cucumbers
Source:StatistiqueCanada CANSIM ,Tableau001-0053,Enquetteannuellesur lesserres…..2010
Ontario 2010( statistic canada 2010)
Artin Demiri 8
Materials
for growing
Gross
payroll
E
L
C
T
R
I
C
I
T
Y
Fuel
Other
crop
expenses
Other
op
expenses
Total
op
expenses
46
(9%)
130.5
(25%)
18
(4%)
92.5
(18%)
66
(13%)
160
(31%)
513
(100%)
22.6.2015
Average greenhouse expenses chart
Artin Demiri 9
0 200000000 400000000 600000000
mat for growing
gross payroll
electr
fuel
other cr exp
other op exp
total op exp
22.6.2015
 Material for growing 5.8cdn
 Gross payroll 16.8 cdn
(only unskilled workers)
 Electricity 2.3cdn
 Fuel 11.9 cdn
 Other crop expenses 8.5 cdn
 Other op. expenses 20.6cdn
 ….. …………. Total=66.cdn/m2
 N.O.during that year total payroll
 (skill + unskill) was 270 mil or 34.8
cdn/m2) ref ANNE MISKOVSKY,
ECONOMIC DEVELOPMENT OFFICER -
OGVG

Averageoperativeexpenses/m 2 in Ontario
vegetablegreenhouses2010
Total acreage of vegetable
greenhouses in Ontario for
2010 was 1919
Average operative expenses
for that acreage counted 513
mil Cdn.
Calculated through that data,
we could have a detailed
substrate about the
expenses indicators per m2 .
According to statistic Canada
during that year there were
2970 permanent workers
and 2580 seasonal workers ;
in total 5550 workers
(unskilled labor).
Artin Demiri 1022.6.2015
Averageoperativeexpenses in greenhouse industry
Canada(2010)
Total operative expenses, cdn/m2
and percentage
Chart of operative expenses
cdn/m2
operative 2010 cdn/m2 %
plant mat for
growing
5.46 7.69
gross payroll 18.2 25,64
electricity 2.38 3.35
fuel 12.05 16.97
other crop
expenses
9.03 12.73
other op.
expenses
23.85 23.61
total operating
expenses
70.97 100
22.6.2015Artin Demiri 11
0 10 20 30
plant mat for
growing
gross payroll
electicity
fuel
other crop
expenses
other op.
expenses
Series1
Production and value of production in Canada
cdn/m2
The table
shows some
data about the
production and
gross margin
of three main
kind of
vegetables
grown in
greenhouses.
2010
tomatoes production 50.87 kg/m2
value of production 92.57 cdn
cucumbers production 13.63 dz/m2
value of production 90.14 cdn
peppers production 24.43 kg/m2
value of production 73.43 cdn
average 85.38 cdn/m2
22.6.2015Artin Demiri 12
Modeling production and gross profit
Average
price/kg
Ontario tomato
bell
pepper cucumber
average
cdn/m2
Ontario
Year 2009 1.674 2.5151.203 82.3
Total area
82500 m 2(20
acres)
2009
production
plant one Quantity
Ontario
average
price cdn 38500 m2 19500 m2 cdn/m2 Average
Tomato kg
3155675 1.674 5282600 2358125 1335099 102.5
Bell peppers kg
667775 2.515 1679454 24500 m2 66.5
Cucumber
pc/kg 702000pc4
56300 kg 1.203 548930 19500 m2
28 cucumbers
+68.5 tomato
Average
91
cdn/m2
22.6.2015
Artin Demiri
13
Explanations
(comparing to Ontario average)
(2009)
 In all the greenhouses described , there was a gross profit 91
cdn/m2 that means 9 cdn more than the Ontario average.
Except of that, the expenses of production labor were
reduced from 16.8 to 9.3, so 7.5 cdn less. In total, the profit
was 16.5 cdn more (+7.5) compared to Ontario average,
combining the production increase with the lowering cost of
labor, 18% more profit was received. In that case, the gross
rentability was 40% compared with Ontario average rentability
of 20%. The amount of production is real; the price per kg is
average of Ontario.
 Due to the fact that the labor and the production variate in a
dynamic way, other operative expenses are considered to be
static. The rational labor usage, is a key factor that leads to the
increase of production
22.6.2015Artin Demiri 14
Analyzing expenses in greenhouse production
Operative expenses during 2009.
During that year , operative
expenses in greenhouses were
513 mil CA. I believe this amount
to be too much, especially the
labour portion.
Having considered the structure
of production in Ontario in 2009,
based on my experience and
specific calculations, there was a
misusage of labor approximately
40%. So from 26% of general
expenses, labor should have been
around 15%. (only for growing).
Efficiency of expenses of labour
usage will combine all other
expenses and would contribute to
reduce them or to excess them as
well . A knowledgeable and
intuitive manager or supervisor,
could contribute to reduce cost of
production and increase the
production.
 Why the difference?
 ….management of labor is not a simple
practice . It is necessary to combine different
concepts of labor organizing , technical
abilities, knowledge about the living conditions
of plant, how to keep up crop work with the
phase of plant, weather, pest and diseases, etc.
 Neglecting to do that combination in the right
time and right way, would compromise the
production and budget . Labor management is
not a static scenario; instead it is flexible and
adaptive, considering always which step is
more important and urgent, which is wrong
and which is good.
22.6.2015Artin Demiri 15
Some examples
Deleafing Spraying
 Deleafing is an important part of
crop work process and of course part
of general expenses. With deleafing,
old leaves are taken off to make the
distribution of organic matter more
efficient. But the old leaves could be
infected with fungal diseases or eggs
of different pests. In that case de-
leafing has double function; to take
of the old leaves and to do
mechanical cleaning of infected
leaves. In that case, throwing the
leaves on the ground is a very bad
practice; the source of the infection
is again inside the greenhouse and
putting the leaves on the ground will
boost the infection due to the
increased temperature of the
heating pipes.
 Spraying in hot temperature is a bad
practice, inefficient and more
expensive. Why?
 Because in the increased
temperatures, the stomata's are
close or almost close. They do not
absorb the solution of spraying and
the spraying efficiency is reduced.
So, the result is double negative;
putting the plant under the
excessive stress with a negative
impact to the production and
making spraying more expensive
because it is necessary to do it once
more.
22.6.2015Artin Demiri 16
 2009 608/1824=0.3333
 2010 641/1919=0.3340
 2011 698/2067=0.3376
 2012 673/2272=0.2962
 2013 783/2400=0.3262
 2014 839/2550=0.3290
 …as a result there is a very tiny
increase in the last year, which
means that even when the acreage is
increased, production is in the same
level or a slight increase but even
though is lower than 2009
Annual
progressive index
Using data of 2009 as a
reference, let us analyze
other consecutive years.
So, the annual sale is
divided by acreage and
the result is called
annual progressive
index.In that index
three factor are
integrated as price,
production and acreage.
Artin Demiri 1722.6.2015
Average annual growth greenhouse
vegetables chart (2009,10,11,12,13,14)
Ontario
Artin Demiri 18
 Last six years greenhouse index development
chart
22.6.2015
Increase of farm gate sale and
production during 20 years period(On)
statisticsCanada,CatalogueNo.22-202-X
Farm gate value 1992-2012
according the calculations the
development of peppers to
tomatoes was 3.4 faster,
combining sales with production
Total production 1992-2012
Sale mil
cdn 1992 2012
tomato 18.7 257.5
peppers 4.32 198.15
cucumbers 21.12 203.3
prod ton 1992 2012
tomato 12.1 176.5
peppers 1.35 70.9
cucumbers 22.5 227.8
22.6.2015Artin Demiri 19
Chartofdevelopmentofvegetablegreenhouseindustry1992-2012,finalgatesaleandtheamount
ofproduction…..tomato,peppersandcucumbers(fold)
22.6.2015Artin Demiri 20
0 10 20 30 40 50
tomato
peppers
cucies
tomato peppers cucies
Series1 14 45 10
1992-2012 greenhouse
vegetables final gate sale
increase in ontario
0 10 20 30 40 50 60
tomato
peppers
cucumbers
tomato peppers cucumbers
Series1 14 53 10
1992-2012 greenhouse
vegetables production increase
in ontario
Average production and
gross profit/m 2
Ontario 2010-2011-2012-
2014
Production and gross
profit per m 2 are
calculated .It is obvious
that gross profit per m2 is
lowered for two reasons
:the production m2 is not
increased and there is a
negative impact of the
price of unit/production.
According to the OMAFRA
experts expectation in the
greenhouse industry is to
grow locally at a rate of
2%-5% annually.
Anne M. Miskovsky
Economic Development
Officer OVGV OCTOBER
18, 2011
Artin Demiri 21
010 011012013014 010 011012 013 014010 011012013 014
tom
pep
p cuc
kg/m 49
47.
1
50.
5
51.
1
50.
2 24.5
23.
9
23.
6 25.424.7 ?
51.
82
47.
4
50.
948.7
cdn/m
86.
4
77.
8
73.
6
84.
5
86.
7 70.9
77.
4
65.
6 73.375
98.
7
93.
8
76.
8 8482
increa
se
dicrea
se % % %
011
Prod 4 2
cdn 10 9 5
012
Prod 7 2
cdn 5 15 18
013
Prod 2 7
22.6.2015
Production equivalence
With that term, I am
trying to calculate the
same amount of output,
received from different
amounts of production
as gross profit. So for
example, the same
amount of money
should not be received
from the same quantity
of different vegetables;
everything depends
from the market price
and the cost per
F.U.(functional unit – kg
or m2)
 Referring to the average market price of
different greenhouse vegetables in Ontario for
2002-2012, and considering the cost of
growing for specific vegetables,the
equivalence of production, as a trend, is
calculated below:
 Tomato 55 kg/m2(1.6cdn/kg)
 Bell peppers 25 kg/m2(3.004 cdn/kg)
 Cucumbers 52 kg/m2(1.7cdn/kg)
 ….but that calculation depends from the growing season
and is orientative. For example if the tomato is produced
during cold season (Winter , Spring and Fall)50 kg/m2 will
be equivalent with 70 kg/m2 (Spring , Summer and Fall).
22.6.2015Artin Demiri 22
2010,2011,2012 vegetable
greenhouse industry growth chart in
Ontario
22.6.2015Artin Demiri 23
0
20
40
60
80
100
120
tom pepp cuc
10 11 12 11 12 11 12
kg/m2
cden/m2
Production kg /m2 of greenhouse vegetables
 Production of greenhouse
vegetables/m2 010,11,12,13
22.6.2015Artin Demiri 24
Produc
tion
kg/m2 Tom Pep Cuc
2010 49 25.4 ?
2011 47.1 23.9
50.
8
2012 50.5 23.6
47.
4
2013 51.1 25.4
50.
9
2014 50.2 24.7
48.
7
0
10
20
30
40
50
60
70
80
90
tomato peppers cucumbers
2010
2011
2012
 Knowing the situation is only the first
step. Everyone could compare his
situation with the average situation.
Collecting data is not difficult. The
difficult part is knowing how to interpret
and to find out how to fit all the factors
in a proper manner, with the aim to
reduce the cost and to increase the
efficiency for a better production. Being
competitive means to integrate all the
factors of the production through a
scientific management, to optimize them
and to do everything on time, in quality
and quantity based on plants necessity,
technically and monetary, performing
knowledge, skill and experience.
Observation
I have collected some data to
create an appropriate idea
about the average general
expenses of the process of
producing vegetables in
greenhouses in Ontario..
The region where greenhouses
of the province are built is the
area of EKL(Essex-Kent-
Lambton)and the greatest
concentration is in the region
of Leamington (83-85%).
Being so, the deviation from
the average data, might not be
considered; instead should be
taken to be appropriate in
specific terms for a 10 acres
greenhouse.
Artin Demiri 2522.6.2015
Gross profit/m2
 E.g. 100 cdn/m2
 What to do?
 Let us do some math and harmonize the
necessary expenses within greenhouse, based
on technique and organization.
 It is necessary to analyze them one by one
and at the end to try to put them together.
26Artin Demiri 22.6.2015
27
Heat
Is thepartofexpenses thatissecond most
expensive part.To keepheating a
greenhouseduringtheyear takes inaverage
20-35%ofgeneral investment.
Aflexible useofheat,can increase orreduce
thecost ofproduction.
Let ussay: keepingtheheattomakeit“cool”
Artin Demiri 22.6.2015
Heat calculation
How much heat is necessary to
produce a certain quantity and how
much is too much?
Let us calculate based on the heating
degree days, and that number for the
region of Leamington is 3600 heating
degree days 28Artin Demiri 22.6.2015
Let us calculate
There are 3600 heating
degree days and is
necessary to provide
3600 cal/gr
water(amount of heat to
boil 3600 g water from 0 -
100 centigrade )that
means 14500 joules for
the cold season, with the
reason to supply the
condition of growing with
a temp 18 degree
Celsius. When the
temperature is above 18
degree Celsius, there is
not necessary any heat.
Based on calculations,
the monthly heat request
is (in %)
Heating deegre day is a
unit to tell how many
centigrade is daily
temperature differ
tfrom18(e.g.18
 Jan 20 %
 Feb 17 %
 March 15 %
 Apr 9 %
 May 3 %
 June
 July
 Aug
 Sept 2 %
 Oct 6%
 Nov 11%
 Dec 17 %
 ( addition as a reserve - 10% of the amount)
29Artin Demiri 22.6.2015
Based in the number of heating degree days , the
calculation is 1.9 Gj/m2.
So, to keep the greenhouse warm that amount is
necessary.
However, we have to calculate the efficiency of boilers,
heat loss from the isolation of greenhouse, loss of heat
from ventilation and from the coverage as well.
At the end, the result is 2.4-2.5 Gj /m2
The cost of heating, depends from the kind of supplies
we use and the price of fuel.
Yearly heat/m2
30Artin Demiri 22.6.2015
Growing specific heat request of
vegetables
 Tomato
For every kg of tomato to be ripened, 50
Mj is necessary.
That amount of heat is necessary to
match with the amount an the intensity
of light. If there is a imbalance, that
amount could be reduced or exceeded.
 Specific heat coefficient of vegetables
compared to tomato
Tomato- 1
 Cucumber- 1.04
 Eggplant- 1.4
 Pepper- 1.73
 Peppers
 For every kg of peppers to be
ripened, Approximately double the
mount is necessary approximately
double amount compared to tomato
- around 85 Mj /kg
 In the cold season, it is necessary to
be supplied by heating system.
note: to know how much heat is
necessary for a certain vegetable we
have to multiple the coefficient by
specific heat of tomato….e.g. for
eggplant 1.4x50=70,so 70 Mj heat
are necessary for a kg eggplant to be
ripen.
31Artin Demiri 22.6.2015
Monthly heating chart
based on heating degree days
0
100
200
300
400
500
600
700
800
1 2 3 4 5 6 7 8 9 10 11 12
Series1
32Artin Demiri 22.6.2015
Monthly percentage heat
0
2
4
6
8
10
12
14
16
18
20
jan feb march apr may june sept oct novemb dec
Series1
33Artin Demiri 22.6.2015
Heating and cooling degree days
 Jan 699
 Feb 610
 March 520
 Apr 326
 May 128
 June 25
 July 2
 Aug 5
 Sept 63
 Oct 216
 Nov 404
 Dec 608
 Jan 0
 Feb 0
 March 0
 Apr 1
 May 15
 June 68
 July 134
 Aug 105
 Sept 38
 Oct 2
 Nov 0
 Dec 0
34Artin Demiri 22.6.2015
Light(PAR) and energy
22 dec Light 17 mol
Erg 9 mj
21 march Light 40 mol
Erg 21 mj
22 june Light 60 mol
Erg 32 mj
21 sept Light 40 mol
Erg 21 mj
 Latitude 42 north
daylight hrs 22 dec
9 hrs
22 june
15 hrs
35Artin Demiri 22.6.2015
Light and energy chart(mol&j)
40
60
40
17
21
32
21
9
0
10
20
30
40
50
60
70
1-Mar 1-Apr 1-May 1-Jun 1-Jul 1-Aug 1-Sep 1-Oct 1-Nov 1-Dec
36Artin Demiri 22.6.2015
Monthly light percentage
To have a better
perception about
light percentage all year
around, I want to bring
in your attention the
quantity of it.
Based on the
percentage given, we
can judge when is less,
enough and too much.
Is the percentage of
light sufficient on
December and January?
 Jan- 14
 Feb- 27
 March - 50
 April- 65
 May-Sept- 100
 Oct- 41
 Nov- 32
 Dec- 14
37Artin Demiri 22.6.2015
Percentage of light all year around
38
0
10
20
30
40
50
60
70
80
90
100
jan feb march apr may june july aug sept oct nov dec
month
Artin Demiri 22.6.2015
PAR of tomato and peppers
 Tomato
 Min 10 -12 mol
 Good 14- 20 mol
 High 22- 30 mol
 Peppers
 Min 10-12 mol
 Good 14-20 mol
 High 22-30 mol
39Artin Demiri 22.6.2015
Saturation points and good light quality
 Tomato 25 mol (400 -600 mmol/m2/sec)
 13 mj
 Pepper 43 mol (800-1200 mmol/m2/sec)
 23 mj
 Saturation point of those vegetables stands in that
amount of light and above that quantity there is not
any increase of photosynthesis efficiency and as a
result no more organic matter is produced on leaves.
40Artin Demiri 22.6.2015
Compensation point
Compensation point is the moment
when all the organic matter produced
during the daylight hours is consumed
totally by the plant during night hours
to do the respiration and nothing is left
for reserve.(e.g.70 w/m2 tomato)
Above that point, the plant begins to
reserve organic matter and to give it to
fruits. 41Artin Demiri 22.6.2015
The ideal situation is to have a crop
sitting in the range above the light
compensation point but just at or
below the light saturation point for
the whole canopy.
This will produce the best response
possible for the light energy input.
42Artin Demiri 22.6.2015
“Harnessing the sun”
Is necessary to manage the light and to match
with the quantity of heat that we can supply.
 At a certain point, we should have a
complexity of different components such as
light, temperature and CO2
 Right combination of them, enhances the
efficiency of photosynthesis----e , g for
tomatoes is 1.8 g dry matter/ mj depend from
L.A.I. (tomatoes -2.3,cucumbers -3.4 and bell
peppers- 6.3) (highest value of L.A.I)
43Artin Demiri 22.6.2015
Plant architecture
On “harnessing the sun”, it is important to
have an optimal designation of plant – with
the aim of sending the amount of organic
matter on the leaves, as much as possible to
the fruits.
 The most worthy thing is to create a good
balance between “sink” and “source”.
 Creating a good balance fruits /leaves is a
positive action.
44Artin Demiri 22.6.2015
Heat usage and movement
45Artin Demiri 22.6.2015
Combination of factors
46Artin Demiri 22.6.2015
47Artin Demiri 22.6.2015
48Artin Demiri 22.6.2015
Monthly solar energy kw/m2/day in
Windsor and Chatam-Kent(opt year)
jan 2.23
feb 2.8
march 3.69
apr 4.33
may 4.6
june 4.89
july 5.04
aug 4.76
sept 4.58
oct 3.66
nov 2.49
dec 2.09
Artin Demiri 4922.6.2015
Monthly solar daily energy(kw/m2) in
Windsor and Chattam –Kent(opt year)
50Artin Demiri
0
1
2
3
4
5
6
jan feb march apr may june july aug sept oct nov dec
22.6.2015
Hourly energy(w/m2) all year around
in flat surface
51
0
100
200
300
400
500
600
700
800
900
jan feb march apr may jene july aug sept oct nov dec
Series1
Series2
150
250
410
555
780
884
887
738
590
370
213
151
Artin Demiri 22.6.2015
Available energy from sun/m2
 Saturation of tomato leaves
inside the canopy happens
at 170 w/m2 and for outer
leaves at 210 w/m2
 The main problem is how
to manage the light and
energy during months of
December and January
and to have production in
winter.
Solar radiation inside the
greenhouse is in average
400 w/m2,in June is 730
w/m2 and in December
220 w/m2
 (Papadopoulos and
 Pararajasingham 1996)
 P.S. There is an amount of
sunshine electric energy all
year around in that area
approximately 1300-1400
kw/m2 .
52Artin Demiri 22.6.2015
53Artin Demiri 22.6.2015
The optimal photosynthesis
Harmonizing light, temperature and
carbon dioxide in the right amount is
important for growers. Best conditions
there are 45-60 % light intensity and
temperature 22-25 centigrade (in
greenhouse), which means
March and April .
54Artin Demiri 22.6.2015
Summary
Considering heat as an important part
of production that increases the cost, it
is necessary to manage it with
efficiency, with the aim to reduce the
expenses without decreasing
production.
Is it possible? 55Artin Demiri 22.6.2015
Labor
Labor expenses take the second top place in
the cost of production . On average they take
approximately around 20 % within the
greenhouse of cost of production. Keeping a
tight budget as well as doing a good plan is an
important step to go forward for
management. Being flexible and realistic is
necessary to combine all the factors together.
 Labor and agro technique used for the crops
are in a close relationship
56Artin Demiri 22.6.2015
Planning
A good and detailed plan, is base of all
the positive results. Putting together
two ends of the rope, will tell us the
best way to achieve the goal and to
determine the necessary steps.
57Artin Demiri 22.6.2015
Keeping data in greenhouses
Tomato Bell peppers
 Data is kept on two
greenhouses, respectively
10 and 4 acres during
growing season for crop
work processes and
picking.
 Data is based on two
greenhouses 10 and 6 acres
for the production and the
harvest is compared year
to year.
 Also the picking time for a
carth is compared
58Artin Demiri 22.6.2015
….how to use workforce?
If we have to produce a
certain quantity of kilos
per m2, it is necessary to
calculate the
appropriate budget per
kg and not per
m2.Calculating per kg is
most accurate than per
m2.
That way of calculation
will help us to be more
concrete ,more flexible,
and to use with better
efficiency workforce.
 Example
 -let us suppose,that is given
….10 cdn/m2. One m2 could
produce 40-60 kg and the
amount is the same. In that
case could have been better
to give the money based on
the quantity of production.
59Artin Demiri 22.6.2015
Matching and timing
Different processes of labor have to
take the necessary amount of time to
be completed – giving more time to
one process instead of the other will
destroy the harmony that exists
between them.
60Artin Demiri 22.6.2015
Timing tomatoes
 Tomato crop work
61kg/m2 (2.65 pl/m2)
 -clipping 6.6 s
 -support(J-hook) 4.7 s
 -deleafing 1.8 s
 -lowering 5.6 s
 Time is calculated per 1
clipp, j-hook, leaf and
plant
 Per plant there were
putt
 -40 clipps
 -31 supports
 -85 leaves deleafed
 -19 lowerings
 30 prunnings
….all year around
61Artin Demiri 22.6.2015
Timing tomatoes (continued)
-Clipping ….other crop work
 Since there were 2.66
pl/m2,were putt 106.4
pieces.
 Multiplied with the
time/piece,there were 702
sec/m2.or 11.7 min.
The same calculation was
done for other processes
and at the and the time of
doing crop work/m2 was 50
minutes.
 Picking took 17 min/m2;so
altogether 67 min there
was the time/m2.
 Knowing the production
was 61 kg/m2,to produce 1
kg,1.1 minute was needed.
62Artin Demiri 22.6.2015
Yearly hours in two greenhouses
10 acres area 4 acre area
 19 lower 3027
 40 clip 7509
 31 supp 4145
 85 leaves 4352
 spray 1000
 30 pruning 2015
 39 wk pick 13065
 cleaning , botrytis etc 9109
total 44222
 Picking time 31-Mar 26-Dec
 14 lower 1004
 24 clip 2027
 19 sup 1434
 70 leaves 1613
 spray 300
 18 prune 580
 29 wk picking 3893
 Cleaning, botrytis 2242
 Total 13113
 Picking time 13-Jun 27-Dec
63Artin Demiri 22.6.2015
Production data(10 and 4 acres)(beefsteak
tomato)
kg /m2
cdn/m2
cdn plant
cdn/kg/total
min/plant
cent/kg/picking
cent/cr wrk/plant
 61.25 40.9
 10.6 6.47
 4 2.8
 0.19 0.16
 26 17.5
 5.3 5
 13.7 11.5
64Artin Demiri 22.6.2015
2009 production data
65
Year
2009
crop timeframe production hrs -c wr
-pick
Min/kg
product
Week
picking
Cost/unit/labor
4acres cucumber 2 jan-30
april
38
piece/m2
5467 3765
1702
0.43/pc 17 0.07 cdn/piece
4 acres tomato 5 may-26
dec
40.9 kg/m2 13113 10851
2262
1.1 29 6.5 cdn/m2
6 acres Bell
pepper
7 jan -30
dec
27.5 kg/m2 17142 10966
6176
1.43 42 6.3 cdn/m2
10 acres tomato 19 jan-25
dec
61.25
kg/m2
44222 31157
13065
1.1 39 10.5 cdn/m2
Year
2009
crop
tomato
Time
frame
prod hrs
-cr wrk
-pick
Mn/kg
/prod
Wk
picking
Cost/
Unit/
Labor
4 acres Cucies
2 jan
30 apr
38
piece/
m2
5467
-3765
-1702
0.43
mn/pc 17
0.07
cdn
piece
4 acres Tomato
5 may
26 dec
40.9
Kg/m2 13113
-10851
-2262
1.1 29
6.5
Cdn
m2
6 acres
Bell
Pepper
7 jan
30 dec
27.5
Kg/m2 17142
-10966
-6176
1.43 42
6.3
Cdn
m2
10
acres
Tomato
19 jan
25 dec
61.25
Kg/m2 44222
-31157
-13065
1.1 39
10.5
Cdn
m2
Total
lab
10 cdn
m2
10,6,4
acres
+
forklift
w.o includ hrs of cleaning
Artin Demiri 22.6.2015
Monthly production index(planted 19.01.2009)
first picking date(01.04.2009)
Based on first month picking
Monthly production index chart
 1 April 1
 2 May 1.46
 3 June 1.55
 4 July 1.45
 5 August 1.18
 6 September 0.9
 7 October 0.7
 9 November 0.86
 10 December 0.92
 (there is an artificial increase
in november and december
due to spraying with ethrol)
66
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
Series1
Artin Demiri 22.6.2015
Correlation between prod. and PAR
tomato
Monthly production PAR and monthly index
 April 6.1 kg/m2
 May 8.9
 June 9.6
 July 8.7
 Aug 6.5
 Sept 5.8
 Oct 4.8
 Nov 5.5
 Dec 5.7
 >40 1
 40-50 1.46
 = 60 1.55
 60-50 1.45
 50-40 1.18
 =40 0.9
 40-30 0.7
 30-20 0.86?(ethrol)
 =17 0.93??(ethrol)
67Artin Demiri 22.6.2015
Correlation chart(prod/PAR) tomato
68
0
10
20
30
40
50
60
1 2 3 4 5 6 7 8 9
PAR
kg/m2/mnth
Artin Demiri 22.6.2015
Monthly bell pepper production chart
69
may
10%
june
15%
july
15%
qaug
18%
sept
16%
oct
11%
nov
8%
dec
7%
mnth bell pepper prod
Artin Demiri 22.6.2015
Monthly picking and production index
Using that index, we can
easily predict
production and picking.
E.g. if there are 100
carths picked in May, in
June around 150 could
be expected to be
produced, and so on…
ending in December
with around 65 of them.
 may 1
 june 1.5
 july 1.45
 aug 1.8
 sept 1.6
 oct 1.1
 nov 0.8
 dec 0.65
70Artin Demiri 22.6.2015
Greenhouse tomato production
Average Ontario 2010 Our Yield 2009(plant one)
 Based on some data of
greenhouse production, average
greenhouse tomato production
in Ontario for 2010 was 49
kg/m2.
 The average greenhouse tomato
production in Netherland for
2002-2006 was 47 kg/m2.
Annemarie Breukers
 Olaf Hietbrink
 Marc Ruijs
 Aug 2008
 Based on the data of
production collected, in
accordance with the data
from sale collected by the
office , the yield of
tomatoes in plant had
been 61 kg/m2 in 10
acres.
71Artin Demiri 22.6.2015
Analysing crop work
 There are some
processes on crop work
to be done and a right
combination of them
resulted in that amount
of yield.
 But , which one was
the predominant?
 Let us see….
 ….doing calculations.
 The performance for
total number of weeks
for crop work is
compared with number
of picking weeks and
week coefficients are
found out.
72Artin Demiri 22.6.2015
Calculating coefficients
73
19 lower 14 lower 1.3/1.36= 0.95
40 clip 24 clip 1.3/1.66= 0.81
31 supp 19 sup 1.3/1.63= 0.83
85 leaves 70 leaves 1.3/1.21= 1.12
30 pruning 18 prun 1.3/1.66= 0.8
39 wk pick 30 wk picking 1.3/1.3= 1
Artin Demiri 22.6.2015
Predominant factor
Having those coefficients found out, we can
realise easily that deleafing had been the
predominant factor that lead to the increase of
production.
 The influence of deleafing over the production
had been 1.12, compared with the other factor
equal 1 or lower that 1.
 As conclusion , due to a propriate manner of
deleafing,12% more production was received and
if the deleafing has had been inappropriate,the
production has had been 54.7 kg/m2(
61.25/1.12=54.7)
74Artin Demiri 22.6.2015
10 acres,hrs and skids chart
75
0
200
400
600
800
1000
1200
1400
1600
1800
2000
jan feb march apr may june july aug sept oct nov dec
hrs
skids
Artin Demiri 22.6.2015
….and
 The influence of other
factors over the
production had been
 1.lower 0.95
 2.clipping 0.81
 3.supporting 0.83
 4.prunning 0.8
 So, we could adjust the
time of clipping,
supporting and prunning.
The analyse has revealed
that those processes
should have been cycled
more than one week
 …e.g. 7/0.81=8.5 that
means one cycle of clipp
should have taken 8.5
days instead of 7 and so
on.
76Artin Demiri 22.6.2015
4 acres,hrs and skids chart
77
0
100
200
300
400
500
600
700
jan feb march apr may june july aug sept oct nov dec
hrs
skids
Artin Demiri 22.6.2015
Tomato fruits size and quality
 The average weight of fruits in 10
acres had been 185 gr and in 4 acres
225 gr.
 Due to the fact that in 10 acres at
the end of harvest, they were
destroyed from botrytis and canker
in total 40% of productive plants, a
plant of tomato has produced 27.5
28 kg .
 There was not any significance of
bad quality or abnormality and
during the year there was no
rejection.
 In general , in both greenhouses ,
four fruits for every set were
harvested and the fruit
coefficient/set was 4 from the
average 3.5.
78Artin Demiri 22.6.2015
Bell peppers data -2008 (17 kg/m2)
2009 (27.5 kg/m2)
79
Month Hrs/acre Kg/acre Min/carth(crth 128kg)
May 08 27,5 4056 69.2
May 09 50.2 7035.16 65.7
June 08 104.7 16525 74
June 09 111 14429.1 60.5
July 08 98.7 12178 62.5
July 09 99 12438.4 61
Aug 08 120.4 11867 77.4
Aug 09 140.1 18192.1 60.9
Sept 08 124 11507 82.7
Sept 09 118.3 15458 61.2
Oct 08 87.8 10310 66.8
Oct 09 107.6 13969 60.1
Nov 08 70 6587 81.7
Nov 09 62 8177 63Artin Demiri 22.6.2015
Fertigation
 It is a very important part of expenses that is
related very close to the growth and
production of plants. A proper formula of
fertigation, means very productive and easy
going with other components as heat,labor
etc.
 On the other side,the fertigation not
composed right,could cause upside down
effects.
80Artin Demiri 22.6.2015
Ec and Ph
Both are indicators of
the composition of
nutrient solution and
the lower and upper
threshold could not be
tolerated . The
tolerance of them ,
cause decrease of the
production.
Keeping ratios and
proportions , not only
for chemicals but for
water too , is very
important and a
decisive factor.
 The quality of irrigation
water could be considered
with priority , because water
is basic substrate that
circulate the nutrition to all
the tissues and cells of plant.
Without the right quality of
water , nutrition will be
inefficient.
81Artin Demiri 22.6.2015
Quality and ….quantity
Hardness of water has a
negative impact on the
production and the salt
stress , especially on the
hot weather . So,that
kind of water is not
absorbed in the right
way , influencing
negatively to the
absorption ability of
root system and
increasing the toxicity of
growth medium.
Combined with fertliser,
an increasing of Ec will
reduce production
regressively.
Influence of Ec on tomato yield
reduction
Ec drip - slab
1.7- 2.5 yield 100%
2.3- 3.5 yield 90%
3.4- 5 yield 75%
5- 7.6 yield 50%
8.4- 13 yield 0%
Optimum range Ec 2.5-3
Ph 5.8-6.3
82Artin Demiri 22.6.2015
Ec chart numbers (TOV 2011)
83
Date Feed east Slab east Feed west Slab west
30 march 2.71 3.35 2.71 3.79
20 april 2.81 3.36 2.68 3.75
27 april n/a n/a 2.99 3.57
04 may 2.76 3.81 2.86 3.93
11 may 2.54 4.49 1.95 5.02
25 may 2.48 2.67 2.48 3.19
07 sept 2.84 5.85 3.95 7.94
Artin Demiri 22.6.2015
Ec graph (TOV 2011)
1- good
2 –good
3- good
4- good
5- acceptable
6 -very good
7- bad
84
0
1
2
3
4
5
6
7
8
1 2 3 4 5 6 7
east feed
east slab
west feed
west slab
Artin Demiri 22.6.2015
Water consumption
Water uptake Drainwater
 For tomato production
there are necessary
approximately 1300 liter
water/m2(20-22 l/kg) and
for peppers 1100 and
cucumbers.
 That quantity is used for
evapotranspiration, living
conditions and drain.
 Approximately 35-40 % of total
quantity is used for drainage;
since that water is re-circulated,
the total yearly amount of water
doesn’t change.
 Drainage is an undesirable
process (but indispensable)that
is caused by
 -irregular transpiration
 -irregular nutrient solution
 -accumulation of salts on growth
media
85Artin Demiri 22.6.2015
…..drain water
 So , the quantity of drainwater is an
indication of good or bad absorption of
nutritive solution and of the total dissolved
solids(including pure water salts).
 Harder the water , less the absorption.
 Too much drainwater ( leachate ) ,means too
much salt on the slab.
 Of course, drainwater could not be
eliminated because it is a necessary evil.
86Artin Demiri 22.6.2015
IPM
..dealig with botrytis …what we did
 Beginning at early April , that
disease sprout out vigorously.
Too many factors should have
caused it to be so agressive
and due to that, the
production should have been
compromised. During the
production season till to the
end, 40 % of plants were
destroyed by botrytis and
canker, which is very
significant and very damaging.
 As a team we decided to be
focused on right time of
deleafing.Why?
 Because oxygen kills that
mold and, deleafing as fast
as was necessary,should
have helped us to cope that
unpleasant situation.It
were better not to remove
the plants attacked from
botrytis.
87Artin Demiri 22.6.2015
Doing our best
Botrytis was
everywhere. The
situation was very hard
and the workers began
to be allergic to it;with
bloody eyes and
sneezing.
When plants with
botrytis are not
removed,there are
30.000. spores in a m3
air,but when there are
removed,that number is
increased.There are
1.000.000. spores/m3
 So, doing deleafing in
necessary time and choosing
the right moment to cut or not
cut the plants with botrytis, we
handled the situation as best as
we could.
 Production was not
compromised, but instead was
over, in quantity and quality.
Financially, the budget was not
surpassed
88Artin Demiri 22.6.2015
Dealing with tomato canker
Managing the situation ….did it worked out?
 Except of botrytis , plants
were hit by tomato canker in
the same time.
 We doubted that the canker
should have been distributed
through water and to prevent
that, we cut the plants with
canker in half, taking out the
lower part of the stem, and
keeping the part of the stem
with two or three sets, leaving
the part of the stem hanging
on the wire without contact
with slabs
 It worked out sucessfully
and from those plants two
or three sets of fruits were
taken and that situation
was coped.
 Even though the situation
was detrimental, doing our
best, the goal was
achieved.
89Artin Demiri 22.6.2015
What we did to realize the duty?
Following the rules and
combining techniques
with the labor, to do
everything in time.
Keeping an everyday
performance and
calculating the
production and labor at
the end of the day, was
an important tool to
dominate the situation.
Also, to enhance the
efficiency of labor, we
calculated the personal
efficiency of each worker
with the aim to put them
in the right job place.
Work discipline was an important factor that
influenced positively over the well going of
process. Each worker had to maintain a
specific zone and to be responsible only for it.
If botrytis and canker had not been managed
successfully,the production in 10 acres had
been 49 kg/m2.On the other hand,if
botrytis and canker,didn’t attack ,the
production were not been more than it
was .The effect of all kinds of diseases
and pests over the loss of production in
the area under management,was 0
Doing so, the duty was realized in quantity and
quality,staying on budget and being
responsible for each dollar of the company.
90Artin Demiri 22.6.2015
Some comparative yields
Artin Demiri 9122.6.2015
Final consideratons
DearSir
Allthepresentationisbasedonmyexperienceaboutthegreenhouseindustry,as
wellasonlineresearchanddirectpracticalworkinagreenhouse.
Inthefirstpart,energy isanalyzed;heatingandsun’senergywiththeaimtohavea
propercombinationbetweenthemandtogivetheplantsasmuchastheyneed
withlowcostprovidingahighharvest.
Dataprovidedonthesecondandthirdpartarerealandelaboratedthroughspecial
formulasforauditingtheyieldsincorrelationwithcropworkwiththeaimtomatch
andtointegratetogetherallthefactors.
Arrangingallthedatathatareprovidedthroughtables,willleadtoanincreasein
productionandmaintainingorloweringcosts.
Theyield75-80kg/m2tomatointheregionofLeamingtonisquitepossibledueto
theamountofthesunenergy;itisnecessarytomanageitinareasonableway.To
havethatamountofproduction,artificiallightisnotnecessary–onlyaccurate
scientificmanagementisenough.
Forabetterunderstanding,allowmetoaddsomeadditionalexplanations…
Artin Demiri 9222.6.2015
Explanations
 All the presentation is
organized in three
parts.
 Part one deals with the
heating and data
provided is taken from
the internet weather
sources near by
Leamington and Essex
region.
 Second and third part is
data from production
and labor management
on the beafsteak
tomato production.
 Data is proven to be
accurate 99.5 % using
special formulas,known
in agriculture science.
Artin Demiri 9322.6.2015
…..behind the numbers
Performance Working for the future
 Performing data diligently, for
every day and every process,
made me aware about the
importance of keeping
evidence and forecasting the
situations; being careful
which step to put first and
which after . This, helped me
to have the situation on my
hand and to judge logically
and to prevent any negative
phenomenon.
 If you do not like data, you
won’t like the future. Keeping
that in mind, data collected, served
me to prepare for the future and
for that presentation ,to make my
propose and to set my goals for the
future.
 If the numbers that I presented here
should be recomposed in an
another order, for an another reality
and based in a creative
management strategy, the goal will
be realized in time,quantity and
quality.
22.6.2015Artin Demiri 94
Supervising
I had to deal with labor
management. It was not
easy to fix all the processes
in order and to choose the
importance of everyone ,to
integrate them and to keep
up the technique used .
The technique and labor
had to go forehead at the
same speed and in
harmony, to be balanced,
to keep up between them
and to be appropriate with
weather conditions . Being
flexible and creative was
important to cope difficult
situations.
 Giving instruction.
 It was very important to give instructions clear
and understandable for every process and
every worker. At the same time it was
important to understand in a right manner all
the instructions given by superiors, with the
aim to make them more comprehensive. As a
first step, I had to convince myself, to adjust in
specific conditions and to give to the workers
clear and not complicated instructions.
 I have to emphasize that the instructions given
by superiors, were transmitted to the workers
in a comprehensive way and the results were
more than 100%. The performance and the
production, had been more than expected
carrying the duty 103%.
22.6.2015Artin Demiri 95
Results  Comparing the labor cost.
1.Based in the greenhouse production structure
 In Ontario for the labor cost…
2.Below is shown a table for the same quantity of
production but the labor cost/kg is approximately three
times more .In the case below the cost of labor 2.8 times
more than our cost ; so relating the labor in our
greenhouse was used more efficiently and the cost of
our production was cheaper. than the case
At the end of 2009,we
made a summary for all
the results achieved.
In tomato we harvested
61.25 kg /m2 for 10
months harvesting(39
weeks with a labor cost
10.6 cdn/m2 or 67
minutes/m2(18 cent/kg).
In bell peppers we
harvested 27.5 kg/m2
with a labor cost 6.3
cdn/m2 or 40
minutes/m2(25 cent /kg).
Labor cost is crucial over
the cost of production .
But let us compare
between the case and our
greenhouse.
22.6.2015Artin Demiri 96
tomato “case” Our greenhouse
Productivity
kg/m2
60.31 61.25
Labor/m2 30.12 cdn 10.6 cdn
Labor/kg 0.5 cdn 0.18 cdn
Year 2009 Ontario Our
greenhouse
Labor cdn/m2 16.8 9.5
Comparing production
To have a clear
perception if the
quantity of
production that
we harvested was
competitive or no,
I am showing
another table
with some
average results in
Ontario and
Canada in 2009.
2009 average tomato peppers
Canada 46.30 kg/m2 25.82 kg/m2
Ontario 49 kg/m2 n/a
Our greenhouse 61.25 kg/m2 27.5 kg/m2
22.6.2015Artin Demiri 97
Reference
For some data
and charts
taken from
internet, there
are provided
references
with the
names of the
authors
 I have based my proposal on my
knowledge and experience in greenhouse
industry and in a timeframe ,I guarantee to
achieve a yield 75-8o kg/m2 but no more
focusing myself on…..
… Knowledge and skills of the grower and the
labour are even more determining factors for
profitability than the greenhouse design,
materials and fittings
Peter Stradiot (Innogreen)
Artin Demiri 9822.6.2015
Based on my calculations, an increase to 70-
75 kg/m2 tomato and 30-32 kg/m2
peppers, maintaining the same cost or
lowering the cost is possible in the region
of Leamington (e.g. ,mid tech) or a 25 %
equivalent profit more per square meter,
compare to actual average gross provincial
profit …let us make our attempts to have
that increase.
Artin Demiri 99
Myobjective
22.6.2015
Instead of
afterword’s
During that presentation of data
about operative expenses and
management, I tried to
summarize and concentrate my
knowledge and experience
gained on the greenhouse
industry related to a better
management that will lead to
improve the situation.
I am convinced, that through a
management based over
scientific criteria, the objective
of increasing efficiency,
lowering the cost of production
or even though maintaining in
the same level will be realized.
Artin Demiri 100
Thank you
Artin Demiri
Agronomist
Bachelor of agricultural
science
Windsor 22.01.2014
22.6.2015

Contenu connexe

Tendances

ascochyta blight of chickpea
ascochyta blight of chickpeaascochyta blight of chickpea
ascochyta blight of chickpearishi0
 
Protected cultivation, importance &; scope, status in india
Protected cultivation, importance &; scope, status in indiaProtected cultivation, importance &; scope, status in india
Protected cultivation, importance &; scope, status in indiaRakesh Pattnaik
 
Redgram SEED PRODUCTION
Redgram SEED PRODUCTIONRedgram SEED PRODUCTION
Redgram SEED PRODUCTIONsriramajmera
 
Greenhouse cultivation of pot plants and containers
Greenhouse cultivation of pot plants and containersGreenhouse cultivation of pot plants and containers
Greenhouse cultivation of pot plants and containersRakesh Pattnaik
 
GREENHOUSE DRYING
GREENHOUSE DRYINGGREENHOUSE DRYING
GREENHOUSE DRYINGpramodrai30
 
Canopy management & pruning of fruits trees
Canopy management & pruning of fruits treesCanopy management & pruning of fruits trees
Canopy management & pruning of fruits treesshafi seddeqi
 
Physiological Disorder of Vegetable Crops
Physiological Disorder of Vegetable CropsPhysiological Disorder of Vegetable Crops
Physiological Disorder of Vegetable CropsDr.Sunil Prajapati
 
Protected Cultivation and Secondary Agriculture (Introduction)
Protected Cultivation and Secondary Agriculture (Introduction)Protected Cultivation and Secondary Agriculture (Introduction)
Protected Cultivation and Secondary Agriculture (Introduction)pramodrai30
 
Advance techniques of vegetable seedling production and nursery
Advance techniques of vegetable seedling production and nurseryAdvance techniques of vegetable seedling production and nursery
Advance techniques of vegetable seedling production and nurseryShashank Shekhar Solankey
 
Plant response to green house environment
Plant response to green house environmentPlant response to green house environment
Plant response to green house environmentAjay Singh Lodhi
 
PROTECTED CULTIVATION OF TOMATO
PROTECTED CULTIVATION OF TOMATOPROTECTED CULTIVATION OF TOMATO
PROTECTED CULTIVATION OF TOMATOAdhiyamaan Raj
 
walnut production technology
walnut production technologywalnut production technology
walnut production technologyPawan Nagar
 
Potenatials of protected cultivation in india
Potenatials of protected cultivation in indiaPotenatials of protected cultivation in india
Potenatials of protected cultivation in indiaDIVYA ARTI
 
Presentation on Gerbera project
Presentation on Gerbera projectPresentation on Gerbera project
Presentation on Gerbera projectAmit Kale
 
Rejuvenation of old mango orchard
Rejuvenation of old mango orchardRejuvenation of old mango orchard
Rejuvenation of old mango orchardParshant Bakshi
 
Rejuvenation of Old/senile orchards-A success story
Rejuvenation of Old/senile orchards-A success storyRejuvenation of Old/senile orchards-A success story
Rejuvenation of Old/senile orchards-A success storyParshant Bakshi
 
Protected cultivation
Protected cultivationProtected cultivation
Protected cultivationRJRANJEET1
 
Broad bean by harmanjeet
Broad bean by harmanjeetBroad bean by harmanjeet
Broad bean by harmanjeetStudent
 
Protected cultivation of parthenocarpic cucumber
Protected cultivation of parthenocarpic cucumberProtected cultivation of parthenocarpic cucumber
Protected cultivation of parthenocarpic cucumberAdhiyamaan Raj
 

Tendances (20)

ascochyta blight of chickpea
ascochyta blight of chickpeaascochyta blight of chickpea
ascochyta blight of chickpea
 
Protected cultivation, importance &; scope, status in india
Protected cultivation, importance &; scope, status in indiaProtected cultivation, importance &; scope, status in india
Protected cultivation, importance &; scope, status in india
 
Redgram SEED PRODUCTION
Redgram SEED PRODUCTIONRedgram SEED PRODUCTION
Redgram SEED PRODUCTION
 
Greenhouse cultivation of pot plants and containers
Greenhouse cultivation of pot plants and containersGreenhouse cultivation of pot plants and containers
Greenhouse cultivation of pot plants and containers
 
GREENHOUSE DRYING
GREENHOUSE DRYINGGREENHOUSE DRYING
GREENHOUSE DRYING
 
Canopy management & pruning of fruits trees
Canopy management & pruning of fruits treesCanopy management & pruning of fruits trees
Canopy management & pruning of fruits trees
 
Physiological Disorder of Vegetable Crops
Physiological Disorder of Vegetable CropsPhysiological Disorder of Vegetable Crops
Physiological Disorder of Vegetable Crops
 
Protected Cultivation and Secondary Agriculture (Introduction)
Protected Cultivation and Secondary Agriculture (Introduction)Protected Cultivation and Secondary Agriculture (Introduction)
Protected Cultivation and Secondary Agriculture (Introduction)
 
Advance techniques of vegetable seedling production and nursery
Advance techniques of vegetable seedling production and nurseryAdvance techniques of vegetable seedling production and nursery
Advance techniques of vegetable seedling production and nursery
 
Plant response to green house environment
Plant response to green house environmentPlant response to green house environment
Plant response to green house environment
 
PROTECTED CULTIVATION OF TOMATO
PROTECTED CULTIVATION OF TOMATOPROTECTED CULTIVATION OF TOMATO
PROTECTED CULTIVATION OF TOMATO
 
walnut production technology
walnut production technologywalnut production technology
walnut production technology
 
Potenatials of protected cultivation in india
Potenatials of protected cultivation in indiaPotenatials of protected cultivation in india
Potenatials of protected cultivation in india
 
Presentation on Gerbera project
Presentation on Gerbera projectPresentation on Gerbera project
Presentation on Gerbera project
 
Rejuvenation of old mango orchard
Rejuvenation of old mango orchardRejuvenation of old mango orchard
Rejuvenation of old mango orchard
 
Rejuvenation of Old/senile orchards-A success story
Rejuvenation of Old/senile orchards-A success storyRejuvenation of Old/senile orchards-A success story
Rejuvenation of Old/senile orchards-A success story
 
Protected cultivation
Protected cultivationProtected cultivation
Protected cultivation
 
Broad bean by harmanjeet
Broad bean by harmanjeetBroad bean by harmanjeet
Broad bean by harmanjeet
 
Green house heating
Green house heatingGreen house heating
Green house heating
 
Protected cultivation of parthenocarpic cucumber
Protected cultivation of parthenocarpic cucumberProtected cultivation of parthenocarpic cucumber
Protected cultivation of parthenocarpic cucumber
 

En vedette

Competition in greenhose vegetable industry ontario
Competition in greenhose vegetable industry ontarioCompetition in greenhose vegetable industry ontario
Competition in greenhose vegetable industry ontarioArtin Demiri
 
Ontario’sgreenhouse vegetable future
Ontario’sgreenhouse vegetable futureOntario’sgreenhouse vegetable future
Ontario’sgreenhouse vegetable futureArtin Demiri
 
Vegetable greenhouse expenses
Vegetable greenhouse expensesVegetable greenhouse expenses
Vegetable greenhouse expensesArtin Demiri
 
Analyze of vegetable greenhouse production
Analyze of  vegetable greenhouse productionAnalyze of  vegetable greenhouse production
Analyze of vegetable greenhouse productionArtin Demiri
 
Competition in greenhose vegetable industry ontario
Competition in greenhose vegetable industry ontarioCompetition in greenhose vegetable industry ontario
Competition in greenhose vegetable industry ontarioArtin Demiri
 
Increasing vegetable greenhouse
Increasing vegetable greenhouseIncreasing vegetable greenhouse
Increasing vegetable greenhouseArtin Demiri
 
Analyze of vegetable greenhouse production copy
Analyze of  vegetable greenhouse production   copyAnalyze of  vegetable greenhouse production   copy
Analyze of vegetable greenhouse production copyArtin Demiri
 
2015 Ontario greenhouse vegetables
2015 Ontario greenhouse vegetables2015 Ontario greenhouse vegetables
2015 Ontario greenhouse vegetablesArtin Demiri
 

En vedette (8)

Competition in greenhose vegetable industry ontario
Competition in greenhose vegetable industry ontarioCompetition in greenhose vegetable industry ontario
Competition in greenhose vegetable industry ontario
 
Ontario’sgreenhouse vegetable future
Ontario’sgreenhouse vegetable futureOntario’sgreenhouse vegetable future
Ontario’sgreenhouse vegetable future
 
Vegetable greenhouse expenses
Vegetable greenhouse expensesVegetable greenhouse expenses
Vegetable greenhouse expenses
 
Analyze of vegetable greenhouse production
Analyze of  vegetable greenhouse productionAnalyze of  vegetable greenhouse production
Analyze of vegetable greenhouse production
 
Competition in greenhose vegetable industry ontario
Competition in greenhose vegetable industry ontarioCompetition in greenhose vegetable industry ontario
Competition in greenhose vegetable industry ontario
 
Increasing vegetable greenhouse
Increasing vegetable greenhouseIncreasing vegetable greenhouse
Increasing vegetable greenhouse
 
Analyze of vegetable greenhouse production copy
Analyze of  vegetable greenhouse production   copyAnalyze of  vegetable greenhouse production   copy
Analyze of vegetable greenhouse production copy
 
2015 Ontario greenhouse vegetables
2015 Ontario greenhouse vegetables2015 Ontario greenhouse vegetables
2015 Ontario greenhouse vegetables
 

Similaire à greenhouse management

VEGETABLE GREENHOUSE EXPENSES
VEGETABLE GREENHOUSE EXPENSESVEGETABLE GREENHOUSE EXPENSES
VEGETABLE GREENHOUSE EXPENSESArtin Demiri
 
Vegetable greenhouse expenses
Vegetable greenhouse expensesVegetable greenhouse expenses
Vegetable greenhouse expensesArtin Demiri
 
Analyze Production Efficiency and Scale Efficiency of Rice Farming Households...
Analyze Production Efficiency and Scale Efficiency of Rice Farming Households...Analyze Production Efficiency and Scale Efficiency of Rice Farming Households...
Analyze Production Efficiency and Scale Efficiency of Rice Farming Households...ijtsrd
 
Competitiveness, strategy, productivity
Competitiveness, strategy, productivityCompetitiveness, strategy, productivity
Competitiveness, strategy, productivityDr. Abdulfatah Salem
 
Drip-Irrigation-Pipes.pdf
Drip-Irrigation-Pipes.pdfDrip-Irrigation-Pipes.pdf
Drip-Irrigation-Pipes.pdfssuser90831d
 
Eric pereira on energy
Eric pereira on energyEric pereira on energy
Eric pereira on energySanjay Patil
 
Competition in greenhose vegetable industry ontario
Competition in greenhose vegetable industry ontarioCompetition in greenhose vegetable industry ontario
Competition in greenhose vegetable industry ontarioArtin Demiri
 
Forecast Probabilistic Analysis Of A Manufacturing Process
Forecast Probabilistic Analysis Of A Manufacturing Process Forecast Probabilistic Analysis Of A Manufacturing Process
Forecast Probabilistic Analysis Of A Manufacturing Process guest20f6ff1
 
maxjacksonpptpresentationproject_acct33032015__0361379 (1)
maxjacksonpptpresentationproject_acct33032015__0361379 (1)maxjacksonpptpresentationproject_acct33032015__0361379 (1)
maxjacksonpptpresentationproject_acct33032015__0361379 (1)Max Jackson, MBA
 
Business Case for Green Buildings
Business Case for Green Buildings Business Case for Green Buildings
Business Case for Green Buildings Ibrahim Al-Hudhaif
 
Cost theory
Cost theoryCost theory
Cost theorywolfaze
 
Energy Corporation Management paddy power1
Energy Corporation Management paddy power1 Energy Corporation Management paddy power1
Energy Corporation Management paddy power1 Siawash sayad
 
"Controlled Environment Agriculture - The Future of Food"
"Controlled Environment Agriculture - The Future of Food""Controlled Environment Agriculture - The Future of Food"
"Controlled Environment Agriculture - The Future of Food"AG/SUM
 
499288303-Paper-Cup-Manufacturing-Projections.docx
499288303-Paper-Cup-Manufacturing-Projections.docx499288303-Paper-Cup-Manufacturing-Projections.docx
499288303-Paper-Cup-Manufacturing-Projections.docxIlaiyarajaS1
 
Brioneja Probabilistic Decision Analysis For Elastomeric Components Sep 16,...
Brioneja   Probabilistic Decision Analysis For Elastomeric Components Sep 16,...Brioneja   Probabilistic Decision Analysis For Elastomeric Components Sep 16,...
Brioneja Probabilistic Decision Analysis For Elastomeric Components Sep 16,...Jose Briones
 

Similaire à greenhouse management (20)

VEGETABLE GREENHOUSE EXPENSES
VEGETABLE GREENHOUSE EXPENSESVEGETABLE GREENHOUSE EXPENSES
VEGETABLE GREENHOUSE EXPENSES
 
Vegetable greenhouse expenses
Vegetable greenhouse expensesVegetable greenhouse expenses
Vegetable greenhouse expenses
 
Analyze Production Efficiency and Scale Efficiency of Rice Farming Households...
Analyze Production Efficiency and Scale Efficiency of Rice Farming Households...Analyze Production Efficiency and Scale Efficiency of Rice Farming Households...
Analyze Production Efficiency and Scale Efficiency of Rice Farming Households...
 
Competitiveness, strategy, productivity
Competitiveness, strategy, productivityCompetitiveness, strategy, productivity
Competitiveness, strategy, productivity
 
Midfield Meats EMS
Midfield Meats EMSMidfield Meats EMS
Midfield Meats EMS
 
Drip-Irrigation-Pipes.pdf
Drip-Irrigation-Pipes.pdfDrip-Irrigation-Pipes.pdf
Drip-Irrigation-Pipes.pdf
 
GloSho'14: Company Showcase - Greenbelt
GloSho'14: Company Showcase - Greenbelt GloSho'14: Company Showcase - Greenbelt
GloSho'14: Company Showcase - Greenbelt
 
Eric pereira on energy
Eric pereira on energyEric pereira on energy
Eric pereira on energy
 
Competition in greenhose vegetable industry ontario
Competition in greenhose vegetable industry ontarioCompetition in greenhose vegetable industry ontario
Competition in greenhose vegetable industry ontario
 
Forecast Probabilistic Analysis Of A Manufacturing Process
Forecast Probabilistic Analysis Of A Manufacturing Process Forecast Probabilistic Analysis Of A Manufacturing Process
Forecast Probabilistic Analysis Of A Manufacturing Process
 
maxjacksonpptpresentationproject_acct33032015__0361379 (1)
maxjacksonpptpresentationproject_acct33032015__0361379 (1)maxjacksonpptpresentationproject_acct33032015__0361379 (1)
maxjacksonpptpresentationproject_acct33032015__0361379 (1)
 
Business Case for Green Buildings
Business Case for Green Buildings Business Case for Green Buildings
Business Case for Green Buildings
 
Responsible tourism
Responsible tourismResponsible tourism
Responsible tourism
 
Cost theory
Cost theoryCost theory
Cost theory
 
Energy Corporation Management paddy power1
Energy Corporation Management paddy power1 Energy Corporation Management paddy power1
Energy Corporation Management paddy power1
 
Pathways to Growth through Smallholder Commercial Farming in Mozambique
Pathways to Growth through Smallholder Commercial Farming in MozambiquePathways to Growth through Smallholder Commercial Farming in Mozambique
Pathways to Growth through Smallholder Commercial Farming in Mozambique
 
FEEDMILL 2025
FEEDMILL 2025FEEDMILL 2025
FEEDMILL 2025
 
"Controlled Environment Agriculture - The Future of Food"
"Controlled Environment Agriculture - The Future of Food""Controlled Environment Agriculture - The Future of Food"
"Controlled Environment Agriculture - The Future of Food"
 
499288303-Paper-Cup-Manufacturing-Projections.docx
499288303-Paper-Cup-Manufacturing-Projections.docx499288303-Paper-Cup-Manufacturing-Projections.docx
499288303-Paper-Cup-Manufacturing-Projections.docx
 
Brioneja Probabilistic Decision Analysis For Elastomeric Components Sep 16,...
Brioneja   Probabilistic Decision Analysis For Elastomeric Components Sep 16,...Brioneja   Probabilistic Decision Analysis For Elastomeric Components Sep 16,...
Brioneja Probabilistic Decision Analysis For Elastomeric Components Sep 16,...
 

greenhouse management

  • 1. GREENHOUSE PRODUCTION MANAGEMENT Tomato and bell peppers 1Artin Demiri 22.6.2015
  • 2. Preface  Let me start the presentation by laying down a question: is it possible to increase production in greenhouses without increasing the cost?  ….I will say yes! 2Artin Demiri  Combining and harmonizing all the factors while growing vegetables in a greenhouse with mid tech technology, that target will be realized successfully. 22.6.2015
  • 4. Artin Demiri 4 Greenhouse vegetables OPERATION COST AND RENTABILITY 22.6.2015
  • 5.  Desire for keeping a tight budget, appropriate to all the steps for a better production practice, made me aware of the importance of dealing with statistics and judge the situation from the viewpoint of improvement.  Progressive steps and generating positive ideas, and should be seen as tools to improve the situation, being as productive as is necessary. Knowing the situation To have a good understanding of the greenhouse vegetable situation, I have been focused on specific data provided by OGVG. Observing over that data, I created my opinion about the expenses and the production of greenhouse vegetables in Ontario for at least five years. I also kept an eye on statistics Canada about the situation of greenhouse vegetables in Ontario, production and expense, as well as sales. With the aim to calculate narrowing of difference output/input and to have a maximized net profit, I overviewed the average expenses of the production vegetables greenhouses in Ontario. Artin Demiri 522.6.2015
  • 6. Real average gross profit m2 in greenhouses of Ontario Data provided in those tables, is a summary of data presented by OGVG for years 2009, 2010 and 2011,2012 and OMAF/MRA Based on that evidence about the farm gate sale and the total greenhouse acreage in Ontario for four consecutive years, easily the gross profit/m2 could be calculated. (Fact sheet 2010,2011, 2012,2013 OGVG) statistics Canada, Catalogue No. 22-202-X Farm Gate Sale Acreage Tomato Peppers Cucies Gross Profit /m2 Consecut ive increase Sales Consecut ive increase Acreage 2009 608 1824 82.3 N/A N/A 2010 641 1919 82.5 6 % 5 % 2011 2012 2013 2014 698 673 783 839 2067 2272 2400 2550 83.4 73.2 80.5 81.3 8 % -4 % 14% 6% 7 % 8 % 5.5 % 6.7% Artin Demiri 6 Author : Siva Mailvaganam - Statistician - OMAF/MRA 2009 608 Last Review ed : April 2015 2010 667 2011 700 2012 673 2013 783 2014 839 22.6.2015
  • 7. Ontario greenhouse acreage Acreage and gross profit /m2 for four consecutive years Acreage chart 011,012,013,014 22.6.2015Artin Demiri 7 acre tom pep cucs 2011 893 603 571 2012 865 753 654 2013 921 819 658 2014 936 891 726 gross profit/ m2 tom pep cucs 2011 78 77.5 93.8 2012 73.6 65 76.8 2013 84.5 73.3 84 2014 86.7 75 82 0 100 200 300 400 500 600 700 800 900 1000 2011 2012 2013 2014 tomato peppers cucumbers
  • 8. Source:StatistiqueCanada CANSIM ,Tableau001-0053,Enquetteannuellesur lesserres…..2010 Ontario 2010( statistic canada 2010) Artin Demiri 8 Materials for growing Gross payroll E L C T R I C I T Y Fuel Other crop expenses Other op expenses Total op expenses 46 (9%) 130.5 (25%) 18 (4%) 92.5 (18%) 66 (13%) 160 (31%) 513 (100%) 22.6.2015
  • 9. Average greenhouse expenses chart Artin Demiri 9 0 200000000 400000000 600000000 mat for growing gross payroll electr fuel other cr exp other op exp total op exp 22.6.2015
  • 10.  Material for growing 5.8cdn  Gross payroll 16.8 cdn (only unskilled workers)  Electricity 2.3cdn  Fuel 11.9 cdn  Other crop expenses 8.5 cdn  Other op. expenses 20.6cdn  ….. …………. Total=66.cdn/m2  N.O.during that year total payroll  (skill + unskill) was 270 mil or 34.8 cdn/m2) ref ANNE MISKOVSKY, ECONOMIC DEVELOPMENT OFFICER - OGVG  Averageoperativeexpenses/m 2 in Ontario vegetablegreenhouses2010 Total acreage of vegetable greenhouses in Ontario for 2010 was 1919 Average operative expenses for that acreage counted 513 mil Cdn. Calculated through that data, we could have a detailed substrate about the expenses indicators per m2 . According to statistic Canada during that year there were 2970 permanent workers and 2580 seasonal workers ; in total 5550 workers (unskilled labor). Artin Demiri 1022.6.2015
  • 11. Averageoperativeexpenses in greenhouse industry Canada(2010) Total operative expenses, cdn/m2 and percentage Chart of operative expenses cdn/m2 operative 2010 cdn/m2 % plant mat for growing 5.46 7.69 gross payroll 18.2 25,64 electricity 2.38 3.35 fuel 12.05 16.97 other crop expenses 9.03 12.73 other op. expenses 23.85 23.61 total operating expenses 70.97 100 22.6.2015Artin Demiri 11 0 10 20 30 plant mat for growing gross payroll electicity fuel other crop expenses other op. expenses Series1
  • 12. Production and value of production in Canada cdn/m2 The table shows some data about the production and gross margin of three main kind of vegetables grown in greenhouses. 2010 tomatoes production 50.87 kg/m2 value of production 92.57 cdn cucumbers production 13.63 dz/m2 value of production 90.14 cdn peppers production 24.43 kg/m2 value of production 73.43 cdn average 85.38 cdn/m2 22.6.2015Artin Demiri 12
  • 13. Modeling production and gross profit Average price/kg Ontario tomato bell pepper cucumber average cdn/m2 Ontario Year 2009 1.674 2.5151.203 82.3 Total area 82500 m 2(20 acres) 2009 production plant one Quantity Ontario average price cdn 38500 m2 19500 m2 cdn/m2 Average Tomato kg 3155675 1.674 5282600 2358125 1335099 102.5 Bell peppers kg 667775 2.515 1679454 24500 m2 66.5 Cucumber pc/kg 702000pc4 56300 kg 1.203 548930 19500 m2 28 cucumbers +68.5 tomato Average 91 cdn/m2 22.6.2015 Artin Demiri 13
  • 14. Explanations (comparing to Ontario average) (2009)  In all the greenhouses described , there was a gross profit 91 cdn/m2 that means 9 cdn more than the Ontario average. Except of that, the expenses of production labor were reduced from 16.8 to 9.3, so 7.5 cdn less. In total, the profit was 16.5 cdn more (+7.5) compared to Ontario average, combining the production increase with the lowering cost of labor, 18% more profit was received. In that case, the gross rentability was 40% compared with Ontario average rentability of 20%. The amount of production is real; the price per kg is average of Ontario.  Due to the fact that the labor and the production variate in a dynamic way, other operative expenses are considered to be static. The rational labor usage, is a key factor that leads to the increase of production 22.6.2015Artin Demiri 14
  • 15. Analyzing expenses in greenhouse production Operative expenses during 2009. During that year , operative expenses in greenhouses were 513 mil CA. I believe this amount to be too much, especially the labour portion. Having considered the structure of production in Ontario in 2009, based on my experience and specific calculations, there was a misusage of labor approximately 40%. So from 26% of general expenses, labor should have been around 15%. (only for growing). Efficiency of expenses of labour usage will combine all other expenses and would contribute to reduce them or to excess them as well . A knowledgeable and intuitive manager or supervisor, could contribute to reduce cost of production and increase the production.  Why the difference?  ….management of labor is not a simple practice . It is necessary to combine different concepts of labor organizing , technical abilities, knowledge about the living conditions of plant, how to keep up crop work with the phase of plant, weather, pest and diseases, etc.  Neglecting to do that combination in the right time and right way, would compromise the production and budget . Labor management is not a static scenario; instead it is flexible and adaptive, considering always which step is more important and urgent, which is wrong and which is good. 22.6.2015Artin Demiri 15
  • 16. Some examples Deleafing Spraying  Deleafing is an important part of crop work process and of course part of general expenses. With deleafing, old leaves are taken off to make the distribution of organic matter more efficient. But the old leaves could be infected with fungal diseases or eggs of different pests. In that case de- leafing has double function; to take of the old leaves and to do mechanical cleaning of infected leaves. In that case, throwing the leaves on the ground is a very bad practice; the source of the infection is again inside the greenhouse and putting the leaves on the ground will boost the infection due to the increased temperature of the heating pipes.  Spraying in hot temperature is a bad practice, inefficient and more expensive. Why?  Because in the increased temperatures, the stomata's are close or almost close. They do not absorb the solution of spraying and the spraying efficiency is reduced. So, the result is double negative; putting the plant under the excessive stress with a negative impact to the production and making spraying more expensive because it is necessary to do it once more. 22.6.2015Artin Demiri 16
  • 17.  2009 608/1824=0.3333  2010 641/1919=0.3340  2011 698/2067=0.3376  2012 673/2272=0.2962  2013 783/2400=0.3262  2014 839/2550=0.3290  …as a result there is a very tiny increase in the last year, which means that even when the acreage is increased, production is in the same level or a slight increase but even though is lower than 2009 Annual progressive index Using data of 2009 as a reference, let us analyze other consecutive years. So, the annual sale is divided by acreage and the result is called annual progressive index.In that index three factor are integrated as price, production and acreage. Artin Demiri 1722.6.2015
  • 18. Average annual growth greenhouse vegetables chart (2009,10,11,12,13,14) Ontario Artin Demiri 18  Last six years greenhouse index development chart 22.6.2015
  • 19. Increase of farm gate sale and production during 20 years period(On) statisticsCanada,CatalogueNo.22-202-X Farm gate value 1992-2012 according the calculations the development of peppers to tomatoes was 3.4 faster, combining sales with production Total production 1992-2012 Sale mil cdn 1992 2012 tomato 18.7 257.5 peppers 4.32 198.15 cucumbers 21.12 203.3 prod ton 1992 2012 tomato 12.1 176.5 peppers 1.35 70.9 cucumbers 22.5 227.8 22.6.2015Artin Demiri 19
  • 20. Chartofdevelopmentofvegetablegreenhouseindustry1992-2012,finalgatesaleandtheamount ofproduction…..tomato,peppersandcucumbers(fold) 22.6.2015Artin Demiri 20 0 10 20 30 40 50 tomato peppers cucies tomato peppers cucies Series1 14 45 10 1992-2012 greenhouse vegetables final gate sale increase in ontario 0 10 20 30 40 50 60 tomato peppers cucumbers tomato peppers cucumbers Series1 14 53 10 1992-2012 greenhouse vegetables production increase in ontario
  • 21. Average production and gross profit/m 2 Ontario 2010-2011-2012- 2014 Production and gross profit per m 2 are calculated .It is obvious that gross profit per m2 is lowered for two reasons :the production m2 is not increased and there is a negative impact of the price of unit/production. According to the OMAFRA experts expectation in the greenhouse industry is to grow locally at a rate of 2%-5% annually. Anne M. Miskovsky Economic Development Officer OVGV OCTOBER 18, 2011 Artin Demiri 21 010 011012013014 010 011012 013 014010 011012013 014 tom pep p cuc kg/m 49 47. 1 50. 5 51. 1 50. 2 24.5 23. 9 23. 6 25.424.7 ? 51. 82 47. 4 50. 948.7 cdn/m 86. 4 77. 8 73. 6 84. 5 86. 7 70.9 77. 4 65. 6 73.375 98. 7 93. 8 76. 8 8482 increa se dicrea se % % % 011 Prod 4 2 cdn 10 9 5 012 Prod 7 2 cdn 5 15 18 013 Prod 2 7 22.6.2015
  • 22. Production equivalence With that term, I am trying to calculate the same amount of output, received from different amounts of production as gross profit. So for example, the same amount of money should not be received from the same quantity of different vegetables; everything depends from the market price and the cost per F.U.(functional unit – kg or m2)  Referring to the average market price of different greenhouse vegetables in Ontario for 2002-2012, and considering the cost of growing for specific vegetables,the equivalence of production, as a trend, is calculated below:  Tomato 55 kg/m2(1.6cdn/kg)  Bell peppers 25 kg/m2(3.004 cdn/kg)  Cucumbers 52 kg/m2(1.7cdn/kg)  ….but that calculation depends from the growing season and is orientative. For example if the tomato is produced during cold season (Winter , Spring and Fall)50 kg/m2 will be equivalent with 70 kg/m2 (Spring , Summer and Fall). 22.6.2015Artin Demiri 22
  • 23. 2010,2011,2012 vegetable greenhouse industry growth chart in Ontario 22.6.2015Artin Demiri 23 0 20 40 60 80 100 120 tom pepp cuc 10 11 12 11 12 11 12 kg/m2 cden/m2
  • 24. Production kg /m2 of greenhouse vegetables  Production of greenhouse vegetables/m2 010,11,12,13 22.6.2015Artin Demiri 24 Produc tion kg/m2 Tom Pep Cuc 2010 49 25.4 ? 2011 47.1 23.9 50. 8 2012 50.5 23.6 47. 4 2013 51.1 25.4 50. 9 2014 50.2 24.7 48. 7 0 10 20 30 40 50 60 70 80 90 tomato peppers cucumbers 2010 2011 2012
  • 25.  Knowing the situation is only the first step. Everyone could compare his situation with the average situation. Collecting data is not difficult. The difficult part is knowing how to interpret and to find out how to fit all the factors in a proper manner, with the aim to reduce the cost and to increase the efficiency for a better production. Being competitive means to integrate all the factors of the production through a scientific management, to optimize them and to do everything on time, in quality and quantity based on plants necessity, technically and monetary, performing knowledge, skill and experience. Observation I have collected some data to create an appropriate idea about the average general expenses of the process of producing vegetables in greenhouses in Ontario.. The region where greenhouses of the province are built is the area of EKL(Essex-Kent- Lambton)and the greatest concentration is in the region of Leamington (83-85%). Being so, the deviation from the average data, might not be considered; instead should be taken to be appropriate in specific terms for a 10 acres greenhouse. Artin Demiri 2522.6.2015
  • 26. Gross profit/m2  E.g. 100 cdn/m2  What to do?  Let us do some math and harmonize the necessary expenses within greenhouse, based on technique and organization.  It is necessary to analyze them one by one and at the end to try to put them together. 26Artin Demiri 22.6.2015
  • 27. 27 Heat Is thepartofexpenses thatissecond most expensive part.To keepheating a greenhouseduringtheyear takes inaverage 20-35%ofgeneral investment. Aflexible useofheat,can increase orreduce thecost ofproduction. Let ussay: keepingtheheattomakeit“cool” Artin Demiri 22.6.2015
  • 28. Heat calculation How much heat is necessary to produce a certain quantity and how much is too much? Let us calculate based on the heating degree days, and that number for the region of Leamington is 3600 heating degree days 28Artin Demiri 22.6.2015
  • 29. Let us calculate There are 3600 heating degree days and is necessary to provide 3600 cal/gr water(amount of heat to boil 3600 g water from 0 - 100 centigrade )that means 14500 joules for the cold season, with the reason to supply the condition of growing with a temp 18 degree Celsius. When the temperature is above 18 degree Celsius, there is not necessary any heat. Based on calculations, the monthly heat request is (in %) Heating deegre day is a unit to tell how many centigrade is daily temperature differ tfrom18(e.g.18  Jan 20 %  Feb 17 %  March 15 %  Apr 9 %  May 3 %  June  July  Aug  Sept 2 %  Oct 6%  Nov 11%  Dec 17 %  ( addition as a reserve - 10% of the amount) 29Artin Demiri 22.6.2015
  • 30. Based in the number of heating degree days , the calculation is 1.9 Gj/m2. So, to keep the greenhouse warm that amount is necessary. However, we have to calculate the efficiency of boilers, heat loss from the isolation of greenhouse, loss of heat from ventilation and from the coverage as well. At the end, the result is 2.4-2.5 Gj /m2 The cost of heating, depends from the kind of supplies we use and the price of fuel. Yearly heat/m2 30Artin Demiri 22.6.2015
  • 31. Growing specific heat request of vegetables  Tomato For every kg of tomato to be ripened, 50 Mj is necessary. That amount of heat is necessary to match with the amount an the intensity of light. If there is a imbalance, that amount could be reduced or exceeded.  Specific heat coefficient of vegetables compared to tomato Tomato- 1  Cucumber- 1.04  Eggplant- 1.4  Pepper- 1.73  Peppers  For every kg of peppers to be ripened, Approximately double the mount is necessary approximately double amount compared to tomato - around 85 Mj /kg  In the cold season, it is necessary to be supplied by heating system. note: to know how much heat is necessary for a certain vegetable we have to multiple the coefficient by specific heat of tomato….e.g. for eggplant 1.4x50=70,so 70 Mj heat are necessary for a kg eggplant to be ripen. 31Artin Demiri 22.6.2015
  • 32. Monthly heating chart based on heating degree days 0 100 200 300 400 500 600 700 800 1 2 3 4 5 6 7 8 9 10 11 12 Series1 32Artin Demiri 22.6.2015
  • 33. Monthly percentage heat 0 2 4 6 8 10 12 14 16 18 20 jan feb march apr may june sept oct novemb dec Series1 33Artin Demiri 22.6.2015
  • 34. Heating and cooling degree days  Jan 699  Feb 610  March 520  Apr 326  May 128  June 25  July 2  Aug 5  Sept 63  Oct 216  Nov 404  Dec 608  Jan 0  Feb 0  March 0  Apr 1  May 15  June 68  July 134  Aug 105  Sept 38  Oct 2  Nov 0  Dec 0 34Artin Demiri 22.6.2015
  • 35. Light(PAR) and energy 22 dec Light 17 mol Erg 9 mj 21 march Light 40 mol Erg 21 mj 22 june Light 60 mol Erg 32 mj 21 sept Light 40 mol Erg 21 mj  Latitude 42 north daylight hrs 22 dec 9 hrs 22 june 15 hrs 35Artin Demiri 22.6.2015
  • 36. Light and energy chart(mol&j) 40 60 40 17 21 32 21 9 0 10 20 30 40 50 60 70 1-Mar 1-Apr 1-May 1-Jun 1-Jul 1-Aug 1-Sep 1-Oct 1-Nov 1-Dec 36Artin Demiri 22.6.2015
  • 37. Monthly light percentage To have a better perception about light percentage all year around, I want to bring in your attention the quantity of it. Based on the percentage given, we can judge when is less, enough and too much. Is the percentage of light sufficient on December and January?  Jan- 14  Feb- 27  March - 50  April- 65  May-Sept- 100  Oct- 41  Nov- 32  Dec- 14 37Artin Demiri 22.6.2015
  • 38. Percentage of light all year around 38 0 10 20 30 40 50 60 70 80 90 100 jan feb march apr may june july aug sept oct nov dec month Artin Demiri 22.6.2015
  • 39. PAR of tomato and peppers  Tomato  Min 10 -12 mol  Good 14- 20 mol  High 22- 30 mol  Peppers  Min 10-12 mol  Good 14-20 mol  High 22-30 mol 39Artin Demiri 22.6.2015
  • 40. Saturation points and good light quality  Tomato 25 mol (400 -600 mmol/m2/sec)  13 mj  Pepper 43 mol (800-1200 mmol/m2/sec)  23 mj  Saturation point of those vegetables stands in that amount of light and above that quantity there is not any increase of photosynthesis efficiency and as a result no more organic matter is produced on leaves. 40Artin Demiri 22.6.2015
  • 41. Compensation point Compensation point is the moment when all the organic matter produced during the daylight hours is consumed totally by the plant during night hours to do the respiration and nothing is left for reserve.(e.g.70 w/m2 tomato) Above that point, the plant begins to reserve organic matter and to give it to fruits. 41Artin Demiri 22.6.2015
  • 42. The ideal situation is to have a crop sitting in the range above the light compensation point but just at or below the light saturation point for the whole canopy. This will produce the best response possible for the light energy input. 42Artin Demiri 22.6.2015
  • 43. “Harnessing the sun” Is necessary to manage the light and to match with the quantity of heat that we can supply.  At a certain point, we should have a complexity of different components such as light, temperature and CO2  Right combination of them, enhances the efficiency of photosynthesis----e , g for tomatoes is 1.8 g dry matter/ mj depend from L.A.I. (tomatoes -2.3,cucumbers -3.4 and bell peppers- 6.3) (highest value of L.A.I) 43Artin Demiri 22.6.2015
  • 44. Plant architecture On “harnessing the sun”, it is important to have an optimal designation of plant – with the aim of sending the amount of organic matter on the leaves, as much as possible to the fruits.  The most worthy thing is to create a good balance between “sink” and “source”.  Creating a good balance fruits /leaves is a positive action. 44Artin Demiri 22.6.2015
  • 45. Heat usage and movement 45Artin Demiri 22.6.2015
  • 46. Combination of factors 46Artin Demiri 22.6.2015
  • 49. Monthly solar energy kw/m2/day in Windsor and Chatam-Kent(opt year) jan 2.23 feb 2.8 march 3.69 apr 4.33 may 4.6 june 4.89 july 5.04 aug 4.76 sept 4.58 oct 3.66 nov 2.49 dec 2.09 Artin Demiri 4922.6.2015
  • 50. Monthly solar daily energy(kw/m2) in Windsor and Chattam –Kent(opt year) 50Artin Demiri 0 1 2 3 4 5 6 jan feb march apr may june july aug sept oct nov dec 22.6.2015
  • 51. Hourly energy(w/m2) all year around in flat surface 51 0 100 200 300 400 500 600 700 800 900 jan feb march apr may jene july aug sept oct nov dec Series1 Series2 150 250 410 555 780 884 887 738 590 370 213 151 Artin Demiri 22.6.2015
  • 52. Available energy from sun/m2  Saturation of tomato leaves inside the canopy happens at 170 w/m2 and for outer leaves at 210 w/m2  The main problem is how to manage the light and energy during months of December and January and to have production in winter. Solar radiation inside the greenhouse is in average 400 w/m2,in June is 730 w/m2 and in December 220 w/m2  (Papadopoulos and  Pararajasingham 1996)  P.S. There is an amount of sunshine electric energy all year around in that area approximately 1300-1400 kw/m2 . 52Artin Demiri 22.6.2015
  • 54. The optimal photosynthesis Harmonizing light, temperature and carbon dioxide in the right amount is important for growers. Best conditions there are 45-60 % light intensity and temperature 22-25 centigrade (in greenhouse), which means March and April . 54Artin Demiri 22.6.2015
  • 55. Summary Considering heat as an important part of production that increases the cost, it is necessary to manage it with efficiency, with the aim to reduce the expenses without decreasing production. Is it possible? 55Artin Demiri 22.6.2015
  • 56. Labor Labor expenses take the second top place in the cost of production . On average they take approximately around 20 % within the greenhouse of cost of production. Keeping a tight budget as well as doing a good plan is an important step to go forward for management. Being flexible and realistic is necessary to combine all the factors together.  Labor and agro technique used for the crops are in a close relationship 56Artin Demiri 22.6.2015
  • 57. Planning A good and detailed plan, is base of all the positive results. Putting together two ends of the rope, will tell us the best way to achieve the goal and to determine the necessary steps. 57Artin Demiri 22.6.2015
  • 58. Keeping data in greenhouses Tomato Bell peppers  Data is kept on two greenhouses, respectively 10 and 4 acres during growing season for crop work processes and picking.  Data is based on two greenhouses 10 and 6 acres for the production and the harvest is compared year to year.  Also the picking time for a carth is compared 58Artin Demiri 22.6.2015
  • 59. ….how to use workforce? If we have to produce a certain quantity of kilos per m2, it is necessary to calculate the appropriate budget per kg and not per m2.Calculating per kg is most accurate than per m2. That way of calculation will help us to be more concrete ,more flexible, and to use with better efficiency workforce.  Example  -let us suppose,that is given ….10 cdn/m2. One m2 could produce 40-60 kg and the amount is the same. In that case could have been better to give the money based on the quantity of production. 59Artin Demiri 22.6.2015
  • 60. Matching and timing Different processes of labor have to take the necessary amount of time to be completed – giving more time to one process instead of the other will destroy the harmony that exists between them. 60Artin Demiri 22.6.2015
  • 61. Timing tomatoes  Tomato crop work 61kg/m2 (2.65 pl/m2)  -clipping 6.6 s  -support(J-hook) 4.7 s  -deleafing 1.8 s  -lowering 5.6 s  Time is calculated per 1 clipp, j-hook, leaf and plant  Per plant there were putt  -40 clipps  -31 supports  -85 leaves deleafed  -19 lowerings  30 prunnings ….all year around 61Artin Demiri 22.6.2015
  • 62. Timing tomatoes (continued) -Clipping ….other crop work  Since there were 2.66 pl/m2,were putt 106.4 pieces.  Multiplied with the time/piece,there were 702 sec/m2.or 11.7 min. The same calculation was done for other processes and at the and the time of doing crop work/m2 was 50 minutes.  Picking took 17 min/m2;so altogether 67 min there was the time/m2.  Knowing the production was 61 kg/m2,to produce 1 kg,1.1 minute was needed. 62Artin Demiri 22.6.2015
  • 63. Yearly hours in two greenhouses 10 acres area 4 acre area  19 lower 3027  40 clip 7509  31 supp 4145  85 leaves 4352  spray 1000  30 pruning 2015  39 wk pick 13065  cleaning , botrytis etc 9109 total 44222  Picking time 31-Mar 26-Dec  14 lower 1004  24 clip 2027  19 sup 1434  70 leaves 1613  spray 300  18 prune 580  29 wk picking 3893  Cleaning, botrytis 2242  Total 13113  Picking time 13-Jun 27-Dec 63Artin Demiri 22.6.2015
  • 64. Production data(10 and 4 acres)(beefsteak tomato) kg /m2 cdn/m2 cdn plant cdn/kg/total min/plant cent/kg/picking cent/cr wrk/plant  61.25 40.9  10.6 6.47  4 2.8  0.19 0.16  26 17.5  5.3 5  13.7 11.5 64Artin Demiri 22.6.2015
  • 65. 2009 production data 65 Year 2009 crop timeframe production hrs -c wr -pick Min/kg product Week picking Cost/unit/labor 4acres cucumber 2 jan-30 april 38 piece/m2 5467 3765 1702 0.43/pc 17 0.07 cdn/piece 4 acres tomato 5 may-26 dec 40.9 kg/m2 13113 10851 2262 1.1 29 6.5 cdn/m2 6 acres Bell pepper 7 jan -30 dec 27.5 kg/m2 17142 10966 6176 1.43 42 6.3 cdn/m2 10 acres tomato 19 jan-25 dec 61.25 kg/m2 44222 31157 13065 1.1 39 10.5 cdn/m2 Year 2009 crop tomato Time frame prod hrs -cr wrk -pick Mn/kg /prod Wk picking Cost/ Unit/ Labor 4 acres Cucies 2 jan 30 apr 38 piece/ m2 5467 -3765 -1702 0.43 mn/pc 17 0.07 cdn piece 4 acres Tomato 5 may 26 dec 40.9 Kg/m2 13113 -10851 -2262 1.1 29 6.5 Cdn m2 6 acres Bell Pepper 7 jan 30 dec 27.5 Kg/m2 17142 -10966 -6176 1.43 42 6.3 Cdn m2 10 acres Tomato 19 jan 25 dec 61.25 Kg/m2 44222 -31157 -13065 1.1 39 10.5 Cdn m2 Total lab 10 cdn m2 10,6,4 acres + forklift w.o includ hrs of cleaning Artin Demiri 22.6.2015
  • 66. Monthly production index(planted 19.01.2009) first picking date(01.04.2009) Based on first month picking Monthly production index chart  1 April 1  2 May 1.46  3 June 1.55  4 July 1.45  5 August 1.18  6 September 0.9  7 October 0.7  9 November 0.86  10 December 0.92  (there is an artificial increase in november and december due to spraying with ethrol) 66 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 Series1 Artin Demiri 22.6.2015
  • 67. Correlation between prod. and PAR tomato Monthly production PAR and monthly index  April 6.1 kg/m2  May 8.9  June 9.6  July 8.7  Aug 6.5  Sept 5.8  Oct 4.8  Nov 5.5  Dec 5.7  >40 1  40-50 1.46  = 60 1.55  60-50 1.45  50-40 1.18  =40 0.9  40-30 0.7  30-20 0.86?(ethrol)  =17 0.93??(ethrol) 67Artin Demiri 22.6.2015
  • 68. Correlation chart(prod/PAR) tomato 68 0 10 20 30 40 50 60 1 2 3 4 5 6 7 8 9 PAR kg/m2/mnth Artin Demiri 22.6.2015
  • 69. Monthly bell pepper production chart 69 may 10% june 15% july 15% qaug 18% sept 16% oct 11% nov 8% dec 7% mnth bell pepper prod Artin Demiri 22.6.2015
  • 70. Monthly picking and production index Using that index, we can easily predict production and picking. E.g. if there are 100 carths picked in May, in June around 150 could be expected to be produced, and so on… ending in December with around 65 of them.  may 1  june 1.5  july 1.45  aug 1.8  sept 1.6  oct 1.1  nov 0.8  dec 0.65 70Artin Demiri 22.6.2015
  • 71. Greenhouse tomato production Average Ontario 2010 Our Yield 2009(plant one)  Based on some data of greenhouse production, average greenhouse tomato production in Ontario for 2010 was 49 kg/m2.  The average greenhouse tomato production in Netherland for 2002-2006 was 47 kg/m2. Annemarie Breukers  Olaf Hietbrink  Marc Ruijs  Aug 2008  Based on the data of production collected, in accordance with the data from sale collected by the office , the yield of tomatoes in plant had been 61 kg/m2 in 10 acres. 71Artin Demiri 22.6.2015
  • 72. Analysing crop work  There are some processes on crop work to be done and a right combination of them resulted in that amount of yield.  But , which one was the predominant?  Let us see….  ….doing calculations.  The performance for total number of weeks for crop work is compared with number of picking weeks and week coefficients are found out. 72Artin Demiri 22.6.2015
  • 73. Calculating coefficients 73 19 lower 14 lower 1.3/1.36= 0.95 40 clip 24 clip 1.3/1.66= 0.81 31 supp 19 sup 1.3/1.63= 0.83 85 leaves 70 leaves 1.3/1.21= 1.12 30 pruning 18 prun 1.3/1.66= 0.8 39 wk pick 30 wk picking 1.3/1.3= 1 Artin Demiri 22.6.2015
  • 74. Predominant factor Having those coefficients found out, we can realise easily that deleafing had been the predominant factor that lead to the increase of production.  The influence of deleafing over the production had been 1.12, compared with the other factor equal 1 or lower that 1.  As conclusion , due to a propriate manner of deleafing,12% more production was received and if the deleafing has had been inappropriate,the production has had been 54.7 kg/m2( 61.25/1.12=54.7) 74Artin Demiri 22.6.2015
  • 75. 10 acres,hrs and skids chart 75 0 200 400 600 800 1000 1200 1400 1600 1800 2000 jan feb march apr may june july aug sept oct nov dec hrs skids Artin Demiri 22.6.2015
  • 76. ….and  The influence of other factors over the production had been  1.lower 0.95  2.clipping 0.81  3.supporting 0.83  4.prunning 0.8  So, we could adjust the time of clipping, supporting and prunning. The analyse has revealed that those processes should have been cycled more than one week  …e.g. 7/0.81=8.5 that means one cycle of clipp should have taken 8.5 days instead of 7 and so on. 76Artin Demiri 22.6.2015
  • 77. 4 acres,hrs and skids chart 77 0 100 200 300 400 500 600 700 jan feb march apr may june july aug sept oct nov dec hrs skids Artin Demiri 22.6.2015
  • 78. Tomato fruits size and quality  The average weight of fruits in 10 acres had been 185 gr and in 4 acres 225 gr.  Due to the fact that in 10 acres at the end of harvest, they were destroyed from botrytis and canker in total 40% of productive plants, a plant of tomato has produced 27.5 28 kg .  There was not any significance of bad quality or abnormality and during the year there was no rejection.  In general , in both greenhouses , four fruits for every set were harvested and the fruit coefficient/set was 4 from the average 3.5. 78Artin Demiri 22.6.2015
  • 79. Bell peppers data -2008 (17 kg/m2) 2009 (27.5 kg/m2) 79 Month Hrs/acre Kg/acre Min/carth(crth 128kg) May 08 27,5 4056 69.2 May 09 50.2 7035.16 65.7 June 08 104.7 16525 74 June 09 111 14429.1 60.5 July 08 98.7 12178 62.5 July 09 99 12438.4 61 Aug 08 120.4 11867 77.4 Aug 09 140.1 18192.1 60.9 Sept 08 124 11507 82.7 Sept 09 118.3 15458 61.2 Oct 08 87.8 10310 66.8 Oct 09 107.6 13969 60.1 Nov 08 70 6587 81.7 Nov 09 62 8177 63Artin Demiri 22.6.2015
  • 80. Fertigation  It is a very important part of expenses that is related very close to the growth and production of plants. A proper formula of fertigation, means very productive and easy going with other components as heat,labor etc.  On the other side,the fertigation not composed right,could cause upside down effects. 80Artin Demiri 22.6.2015
  • 81. Ec and Ph Both are indicators of the composition of nutrient solution and the lower and upper threshold could not be tolerated . The tolerance of them , cause decrease of the production. Keeping ratios and proportions , not only for chemicals but for water too , is very important and a decisive factor.  The quality of irrigation water could be considered with priority , because water is basic substrate that circulate the nutrition to all the tissues and cells of plant. Without the right quality of water , nutrition will be inefficient. 81Artin Demiri 22.6.2015
  • 82. Quality and ….quantity Hardness of water has a negative impact on the production and the salt stress , especially on the hot weather . So,that kind of water is not absorbed in the right way , influencing negatively to the absorption ability of root system and increasing the toxicity of growth medium. Combined with fertliser, an increasing of Ec will reduce production regressively. Influence of Ec on tomato yield reduction Ec drip - slab 1.7- 2.5 yield 100% 2.3- 3.5 yield 90% 3.4- 5 yield 75% 5- 7.6 yield 50% 8.4- 13 yield 0% Optimum range Ec 2.5-3 Ph 5.8-6.3 82Artin Demiri 22.6.2015
  • 83. Ec chart numbers (TOV 2011) 83 Date Feed east Slab east Feed west Slab west 30 march 2.71 3.35 2.71 3.79 20 april 2.81 3.36 2.68 3.75 27 april n/a n/a 2.99 3.57 04 may 2.76 3.81 2.86 3.93 11 may 2.54 4.49 1.95 5.02 25 may 2.48 2.67 2.48 3.19 07 sept 2.84 5.85 3.95 7.94 Artin Demiri 22.6.2015
  • 84. Ec graph (TOV 2011) 1- good 2 –good 3- good 4- good 5- acceptable 6 -very good 7- bad 84 0 1 2 3 4 5 6 7 8 1 2 3 4 5 6 7 east feed east slab west feed west slab Artin Demiri 22.6.2015
  • 85. Water consumption Water uptake Drainwater  For tomato production there are necessary approximately 1300 liter water/m2(20-22 l/kg) and for peppers 1100 and cucumbers.  That quantity is used for evapotranspiration, living conditions and drain.  Approximately 35-40 % of total quantity is used for drainage; since that water is re-circulated, the total yearly amount of water doesn’t change.  Drainage is an undesirable process (but indispensable)that is caused by  -irregular transpiration  -irregular nutrient solution  -accumulation of salts on growth media 85Artin Demiri 22.6.2015
  • 86. …..drain water  So , the quantity of drainwater is an indication of good or bad absorption of nutritive solution and of the total dissolved solids(including pure water salts).  Harder the water , less the absorption.  Too much drainwater ( leachate ) ,means too much salt on the slab.  Of course, drainwater could not be eliminated because it is a necessary evil. 86Artin Demiri 22.6.2015
  • 87. IPM ..dealig with botrytis …what we did  Beginning at early April , that disease sprout out vigorously. Too many factors should have caused it to be so agressive and due to that, the production should have been compromised. During the production season till to the end, 40 % of plants were destroyed by botrytis and canker, which is very significant and very damaging.  As a team we decided to be focused on right time of deleafing.Why?  Because oxygen kills that mold and, deleafing as fast as was necessary,should have helped us to cope that unpleasant situation.It were better not to remove the plants attacked from botrytis. 87Artin Demiri 22.6.2015
  • 88. Doing our best Botrytis was everywhere. The situation was very hard and the workers began to be allergic to it;with bloody eyes and sneezing. When plants with botrytis are not removed,there are 30.000. spores in a m3 air,but when there are removed,that number is increased.There are 1.000.000. spores/m3  So, doing deleafing in necessary time and choosing the right moment to cut or not cut the plants with botrytis, we handled the situation as best as we could.  Production was not compromised, but instead was over, in quantity and quality. Financially, the budget was not surpassed 88Artin Demiri 22.6.2015
  • 89. Dealing with tomato canker Managing the situation ….did it worked out?  Except of botrytis , plants were hit by tomato canker in the same time.  We doubted that the canker should have been distributed through water and to prevent that, we cut the plants with canker in half, taking out the lower part of the stem, and keeping the part of the stem with two or three sets, leaving the part of the stem hanging on the wire without contact with slabs  It worked out sucessfully and from those plants two or three sets of fruits were taken and that situation was coped.  Even though the situation was detrimental, doing our best, the goal was achieved. 89Artin Demiri 22.6.2015
  • 90. What we did to realize the duty? Following the rules and combining techniques with the labor, to do everything in time. Keeping an everyday performance and calculating the production and labor at the end of the day, was an important tool to dominate the situation. Also, to enhance the efficiency of labor, we calculated the personal efficiency of each worker with the aim to put them in the right job place. Work discipline was an important factor that influenced positively over the well going of process. Each worker had to maintain a specific zone and to be responsible only for it. If botrytis and canker had not been managed successfully,the production in 10 acres had been 49 kg/m2.On the other hand,if botrytis and canker,didn’t attack ,the production were not been more than it was .The effect of all kinds of diseases and pests over the loss of production in the area under management,was 0 Doing so, the duty was realized in quantity and quality,staying on budget and being responsible for each dollar of the company. 90Artin Demiri 22.6.2015
  • 91. Some comparative yields Artin Demiri 9122.6.2015
  • 92. Final consideratons DearSir Allthepresentationisbasedonmyexperienceaboutthegreenhouseindustry,as wellasonlineresearchanddirectpracticalworkinagreenhouse. Inthefirstpart,energy isanalyzed;heatingandsun’senergywiththeaimtohavea propercombinationbetweenthemandtogivetheplantsasmuchastheyneed withlowcostprovidingahighharvest. Dataprovidedonthesecondandthirdpartarerealandelaboratedthroughspecial formulasforauditingtheyieldsincorrelationwithcropworkwiththeaimtomatch andtointegratetogetherallthefactors. Arrangingallthedatathatareprovidedthroughtables,willleadtoanincreasein productionandmaintainingorloweringcosts. Theyield75-80kg/m2tomatointheregionofLeamingtonisquitepossibledueto theamountofthesunenergy;itisnecessarytomanageitinareasonableway.To havethatamountofproduction,artificiallightisnotnecessary–onlyaccurate scientificmanagementisenough. Forabetterunderstanding,allowmetoaddsomeadditionalexplanations… Artin Demiri 9222.6.2015
  • 93. Explanations  All the presentation is organized in three parts.  Part one deals with the heating and data provided is taken from the internet weather sources near by Leamington and Essex region.  Second and third part is data from production and labor management on the beafsteak tomato production.  Data is proven to be accurate 99.5 % using special formulas,known in agriculture science. Artin Demiri 9322.6.2015
  • 94. …..behind the numbers Performance Working for the future  Performing data diligently, for every day and every process, made me aware about the importance of keeping evidence and forecasting the situations; being careful which step to put first and which after . This, helped me to have the situation on my hand and to judge logically and to prevent any negative phenomenon.  If you do not like data, you won’t like the future. Keeping that in mind, data collected, served me to prepare for the future and for that presentation ,to make my propose and to set my goals for the future.  If the numbers that I presented here should be recomposed in an another order, for an another reality and based in a creative management strategy, the goal will be realized in time,quantity and quality. 22.6.2015Artin Demiri 94
  • 95. Supervising I had to deal with labor management. It was not easy to fix all the processes in order and to choose the importance of everyone ,to integrate them and to keep up the technique used . The technique and labor had to go forehead at the same speed and in harmony, to be balanced, to keep up between them and to be appropriate with weather conditions . Being flexible and creative was important to cope difficult situations.  Giving instruction.  It was very important to give instructions clear and understandable for every process and every worker. At the same time it was important to understand in a right manner all the instructions given by superiors, with the aim to make them more comprehensive. As a first step, I had to convince myself, to adjust in specific conditions and to give to the workers clear and not complicated instructions.  I have to emphasize that the instructions given by superiors, were transmitted to the workers in a comprehensive way and the results were more than 100%. The performance and the production, had been more than expected carrying the duty 103%. 22.6.2015Artin Demiri 95
  • 96. Results  Comparing the labor cost. 1.Based in the greenhouse production structure  In Ontario for the labor cost… 2.Below is shown a table for the same quantity of production but the labor cost/kg is approximately three times more .In the case below the cost of labor 2.8 times more than our cost ; so relating the labor in our greenhouse was used more efficiently and the cost of our production was cheaper. than the case At the end of 2009,we made a summary for all the results achieved. In tomato we harvested 61.25 kg /m2 for 10 months harvesting(39 weeks with a labor cost 10.6 cdn/m2 or 67 minutes/m2(18 cent/kg). In bell peppers we harvested 27.5 kg/m2 with a labor cost 6.3 cdn/m2 or 40 minutes/m2(25 cent /kg). Labor cost is crucial over the cost of production . But let us compare between the case and our greenhouse. 22.6.2015Artin Demiri 96 tomato “case” Our greenhouse Productivity kg/m2 60.31 61.25 Labor/m2 30.12 cdn 10.6 cdn Labor/kg 0.5 cdn 0.18 cdn Year 2009 Ontario Our greenhouse Labor cdn/m2 16.8 9.5
  • 97. Comparing production To have a clear perception if the quantity of production that we harvested was competitive or no, I am showing another table with some average results in Ontario and Canada in 2009. 2009 average tomato peppers Canada 46.30 kg/m2 25.82 kg/m2 Ontario 49 kg/m2 n/a Our greenhouse 61.25 kg/m2 27.5 kg/m2 22.6.2015Artin Demiri 97
  • 98. Reference For some data and charts taken from internet, there are provided references with the names of the authors  I have based my proposal on my knowledge and experience in greenhouse industry and in a timeframe ,I guarantee to achieve a yield 75-8o kg/m2 but no more focusing myself on….. … Knowledge and skills of the grower and the labour are even more determining factors for profitability than the greenhouse design, materials and fittings Peter Stradiot (Innogreen) Artin Demiri 9822.6.2015
  • 99. Based on my calculations, an increase to 70- 75 kg/m2 tomato and 30-32 kg/m2 peppers, maintaining the same cost or lowering the cost is possible in the region of Leamington (e.g. ,mid tech) or a 25 % equivalent profit more per square meter, compare to actual average gross provincial profit …let us make our attempts to have that increase. Artin Demiri 99 Myobjective 22.6.2015
  • 100. Instead of afterword’s During that presentation of data about operative expenses and management, I tried to summarize and concentrate my knowledge and experience gained on the greenhouse industry related to a better management that will lead to improve the situation. I am convinced, that through a management based over scientific criteria, the objective of increasing efficiency, lowering the cost of production or even though maintaining in the same level will be realized. Artin Demiri 100 Thank you Artin Demiri Agronomist Bachelor of agricultural science Windsor 22.01.2014 22.6.2015