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Development of Smart Farming
(based on Arduino)
Prepared by
Patel Raj (14BEE091)
Rana Shivang (14BEE099)
Guided by
Prof. Shankar Godwal
Workflow
REVIEW - 1 REVIEW - 2 REVIEW - 3
- Conceptualising
Smart Farming
- Seeking to the
newer ways by
which we could
make an
innovation.
- Choosing the
most viable
hardware
components
- Implementing
the hardware
system.
- Analysis of Real-
time data
acquired
- Proposing a Smart
model of farm
using concept of
IoT
INDEX
•Project Implementation
•Real-Time Data Analysis of Implementated hardware & Conclusions
•Proposed Implementation using the concepts of IoT
•Challenges faced in Smart Farming with perspective of India
•Further Scope for Innovation from Electrical Engineer’s POV
Project Implementation
•Using Moisture Sensor interfaced with Arduino for real-time
Continuous data acquisition.
•Pump to feed Water when crop is little thirsty.
•Programming the Pump according to the Real-time Data collected.
•LCD Display to show Current Data Acquired from the Moisture Sensor.
•Practical Real-time analysis of Holy Basil Crop (Ocimum sanctum).
Real time analysis of Holy Basil Crop
• Holy Basil is very heat and cold sensitive. A room that has a
constant warm temperature, a greenhouse or indoor
greenhouse is best. We can place it on a window sill with a
heater right under it, provided the heater is on at night too.
• Especially in the winter it is very important to ensure tulsi is
kept in a constantly warm place.
• Optimum ground temperature is around 26° Celsius (78.8° F).
DAY 10:45AM 1:00PM 4:00PM 9:00PM
SUNDAY 450 250 526 200 396 217 368
MONDAY 455 225 500 250 400 271 400
Proposed Implementation
•Add-Ons to the existing implemented model
•Water Level Sensor interfaced with Arduino to get updated when if there is issue
related to Irrigation or pumping system.
•Establishing Talk between Sensors for Real-time Issues.
•Wireless network modelling to inform farmer about the time- to -time updates on
the crops with help of
•Matrix based farming for Residential Organic farming
•Conceptualizing Farm-Bot
WATER LEVEL SENSOR
Specification:
Operating Voltage: DC 3-5V
Operating Current: <20mA
Detection Area: 40mm x 16mm
Working Temperature: 10 °C to 30 °C
Work Humidity: 10% to 90% without condensation
Size: 65mm x 20mm x 8mm
Optional Accessories: 3 pin sensor connecting line
Sensor relay shield
Block diagram for Add-Ons existing model
WIRELESS NETWORK USING TRANSMITTER AND
RECEIVER
Transmitter Receiver
Module Module
Wireless Sensor
Network (WSNs)
Challenges faced in Smart Farming with perspective of India
( Dream or Future ? )
•Unawareness about weather condition so whole area of crop get vanish.
•Diseases to plant that degrade crop quality and thus harvesting quantity.
•Unawareness of weed so using pesticides for them that damage plants naturality.
•More time to harvest crop and involved more labour so money investment is large
compared to harvesting robots.
•Less knowledge of irrigation that non uniformity of spreading water throughout farm.
Economical model implementation in Smart Farming
Farm-BOT
(DIY Farm)
Thank you !
(Keep Farming)

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Developing Smart Farming with Arduino (14BEE091 14BEE099

  • 1. Development of Smart Farming (based on Arduino) Prepared by Patel Raj (14BEE091) Rana Shivang (14BEE099) Guided by Prof. Shankar Godwal
  • 2. Workflow REVIEW - 1 REVIEW - 2 REVIEW - 3 - Conceptualising Smart Farming - Seeking to the newer ways by which we could make an innovation. - Choosing the most viable hardware components - Implementing the hardware system. - Analysis of Real- time data acquired - Proposing a Smart model of farm using concept of IoT
  • 3. INDEX •Project Implementation •Real-Time Data Analysis of Implementated hardware & Conclusions •Proposed Implementation using the concepts of IoT •Challenges faced in Smart Farming with perspective of India •Further Scope for Innovation from Electrical Engineer’s POV
  • 4. Project Implementation •Using Moisture Sensor interfaced with Arduino for real-time Continuous data acquisition. •Pump to feed Water when crop is little thirsty. •Programming the Pump according to the Real-time Data collected. •LCD Display to show Current Data Acquired from the Moisture Sensor. •Practical Real-time analysis of Holy Basil Crop (Ocimum sanctum).
  • 5. Real time analysis of Holy Basil Crop • Holy Basil is very heat and cold sensitive. A room that has a constant warm temperature, a greenhouse or indoor greenhouse is best. We can place it on a window sill with a heater right under it, provided the heater is on at night too. • Especially in the winter it is very important to ensure tulsi is kept in a constantly warm place. • Optimum ground temperature is around 26° Celsius (78.8° F). DAY 10:45AM 1:00PM 4:00PM 9:00PM SUNDAY 450 250 526 200 396 217 368 MONDAY 455 225 500 250 400 271 400
  • 6. Proposed Implementation •Add-Ons to the existing implemented model •Water Level Sensor interfaced with Arduino to get updated when if there is issue related to Irrigation or pumping system. •Establishing Talk between Sensors for Real-time Issues. •Wireless network modelling to inform farmer about the time- to -time updates on the crops with help of •Matrix based farming for Residential Organic farming •Conceptualizing Farm-Bot
  • 7. WATER LEVEL SENSOR Specification: Operating Voltage: DC 3-5V Operating Current: <20mA Detection Area: 40mm x 16mm Working Temperature: 10 °C to 30 °C Work Humidity: 10% to 90% without condensation Size: 65mm x 20mm x 8mm Optional Accessories: 3 pin sensor connecting line Sensor relay shield
  • 8. Block diagram for Add-Ons existing model
  • 9. WIRELESS NETWORK USING TRANSMITTER AND RECEIVER Transmitter Receiver Module Module Wireless Sensor Network (WSNs)
  • 10. Challenges faced in Smart Farming with perspective of India ( Dream or Future ? ) •Unawareness about weather condition so whole area of crop get vanish. •Diseases to plant that degrade crop quality and thus harvesting quantity. •Unawareness of weed so using pesticides for them that damage plants naturality. •More time to harvest crop and involved more labour so money investment is large compared to harvesting robots. •Less knowledge of irrigation that non uniformity of spreading water throughout farm.
  • 13. Thank you ! (Keep Farming)