1. 1www.foodie-project.eu
Collecting farm related machinery and sensor data in
the cloud-based platform
V. Lukas1, T. Řezník2, K. Charvát jr.3, K. Charvát3, Z.
Křivánek3, Š. Horáková3, M. Musil3, J. Měkotová4
1Mendel University, Faculty of Agronomy, Department of Agrosystems and
Bioclimatology, Brno, Czech Republic
2Masaryk University, Faculty of Science, Department of Geography, Brno, Czech Republic
3 WirelessInfo, Litovel, Czech Republic
4 MJM Litovel, a.s., Czech Republic
2. 2www.foodie-project.eu
Introduction
Nowadays various data could be obtained by common farm management. Traditionally, in
a plant production such data comprises information about fields, soil conditions and crop
treatments. Moreover, data for a plant production also includes sensor data recorded
from a variety of stationary and mobile devices such as farm machines, crop sensors,
weather stations, etc.
A cloud platform for collection, storage, sharing and analysis of large quantities of
spatially and non-spatially referenced data is being developed in the European project
“Farm-Oriented Open Data in Europe” (FOODIE).
A collection of data was verified within the FOODIE Czech pilot farm with 1’214 ha of
arable land to obtain information about farm machinery management and agro-
meteorological observation. Selected tractors and implements were equipped by
telemetry units to record vehicle trajectory in the fields and a wireless sensor network
was established to observe meteorological conditions within a two fields with cereals. For
such purposes, a novel data model was developed to manage both sensor data and farm
records within one platform simultaneously with the client application, which allows end-
users to make visualization and analysis of farm data.
4. 4www.foodie-project.eu
Farm Tršice
• located in most productive region in Czech republic
• intensive crop production on arable land + hops production
Farm Tršice
Average elevation of
fields
Average year
temperature
Total amount of
precipitation per
year
Total area Arable land Grassland Orchards
Organic
farming
Farm
Tršice
284 m 8.9°C 570 mm 1’291 ha 1’214 ha -
74 ha
(hopfields)
NO
6. 6www.foodie-project.eu
Sc.B – Machinery Telematics
Main purposes of these scenario are:
• Evaluation of the economic efficiency of machinery operations within the
fields.
• Precise records of crop management treatments (fertilizers, pesticides).
• Improved management of machinery operations and planning of crop
management treatments.
• Control of quality of field operations, such as pass-to-pass errors and overlaps,
coverage of maintained area, recommended work speed.
• Control of applied input material in comparison to prescribed rates.
• Compliance of agro-environmental limits (Nitrate Directive, Good Agricultural
and Environmental Conditions - GAEC, protection of water resources, etc.).
8. 8www.foodie-project.eu
The effectiveness of each production, including agriculture, is
determined by the ratio of the value of the production
outputs to the value of production inputs. One of the
possibilities of solving the farm effectiveness problem,
FarmTelemetry focuses on is to optimize the level of farm
inputs. It can be the energy needed to power agricultural
machinery on the fields, energy for the transport of inputs
and outputs of production
Farm Telemetry
16. 16www.foodie-project.eu
Sc.C – Site Specific Crop Management
3. Meteorological monitoring
• to capture detailed dynamics of weather conditions on the
ground.
• Weather data will be recorded at the specific localities in high
frequency (between 10 and 15 minutes).
• The main goal is to obtain data for modelling of crop growth and
to support decision making by agronomist for plant protection
(prediction of the plant pests and diseases infestation), plant
nutrition (crop growth and nutrient supply), soil tillage (soil
moisture regime) and irrigation (soil moisture).
17. 17www.foodie-project.eu
Activities in Scenario C
Design and development of sensor network
Deployment and testing of sensor network at pilot farm
meteorological station at farm pitch
deployment of WSN gateway and nodes over selected fields
(winter wheat and spring barely) – measurement of soil moisture,
temperature, EC and air temperature + humidity
Czech Pilot Execution Progress
21. 21www.foodie-project.eu
One platform for all the most common tasks
• Production planning
• Production monitoring, alerting and analyses
• Subsidies management
• Environmental burden monitoring
Ownership of farmer’s data
• Farmer’s data are private and sensitive data
• Remains farmer’s property
Modularity
• Customizable and scalable platform
User needs
26. 26www.foodie-project.eu
“Site” level is the lowest INSPIRE-defined one
• However, differently defined within various INSPIRE spatial data
themes (issue addressed by the INSPIRE clusters)
Key for the integration to a Land Parcel Identification System
(LPIS)
• Typically managing Ministry of Agriculture of each Member
State
• 45 LPIS’ within 28 European Member States
• Some countries have LPIS connected to the cadaster, some not
• Basic level for subsidies
Successful integration of the Czech LPIS within the Pilot 3 of
the FOODIE project
Core Data Model – Site
33. 33www.foodie-project.eu
Separate data stores
• Data model according to the data source
• Core data mode stores user-specified (interpreted) data
Satellite and aerial images
• Data harvester component as a part of the FOODIE cloud
• LANDSAT 8 and later on Sentinel data imported into the
platform immediately as available
Including the basic processing like computation of vegetation
indices
Volunteer geographic information (VGI)
• Lightweight profile of the core model to be developed within
the second year of the project
Supportive data
35. 35www.foodie-project.eu
Core Data Model
• Management zones
• Interventions
• Treatments
• …
Sensor Data Model
• ISO 19156 O&M
• also VGI
Transport Data Model
• OSM for navigation
FOODIE Data Models
edge
edge
vertex
vertex
vertex
edge
edge edge
edge
Road segment attributes
Identifier, e.g. http://foodie-project.eu/dat/tn/654787
National code, e.g. 43
Road width, e.g. 5 meters
Maximum height, e.g. 2.1 meters
Maximum weight, e.g. 2 tons
Speed limit, e.g. 20 km·h-1
Surface category, e.g. asphalt, unpaved,…
HAZMAT limitation, i.e. flammable/explosive/corrosive/toxic/oxidizing