A Smart Farm System built Using TQL to monitor farm conditions, compare and contrast with city wide conditions, and dynamically control irrigation to save water. Applications range from something as simple as backyard/garden usage all the way to a more complex SmartFarm application, although this would be a singular node in that application

1. FarmSystem for
TQLONE
Kaustubh Pimputkar
(Initial Contributions by Kaustubh Pimputkar, Anant Kadiyala, Dharmi Sarkar)

2. Use Case & Business Case Background
• Smart Management of a farm
• Can be used as a part of a bigger farm (and deployed multiple times)
• Can be used for a home garden
• Can be used for Smart Sprinkler Management and Lawn Health

3. Deployment
• Two TQL Engines, one
running on Ras Pi 3, one on
localhost.
• 4 sensors, 1 actuator, 1
Device cloud sensor (3
sensor readings)
• Ras Pi yielded local readings,
while Device Cloud yielded
city-wide readings, so that
same app can be deployed
everywhere
Type
TQL Engine 1
(Raspberry Pi 3)
TQL Engine 2
(Local Machine)
Sensor Thermal Thermal
Sensor Ambient Pressure
Sensor Humidity Humidity
Sensor Soil Moisture N/A
Actuator Flow Control Valve N/A

4. Raspberry Pi 3 with Arduino +
Temperature, Humidity, Light, Soil
Sensors
Hardware Setup
Arduino + Power Circuitry +
Solenoid Valve with Flow Control

5. Screenshot

6. Screenshot [Explained]
External Conditions
• The temperature, pressure,
humidity, in any given city using
OpenWeather API formats
• “Get Weather” allows you to
update conditions for any city
(ollowing correct format), while
“Update Interval” and “Stop
Sensing” allow scheduled sensing.
Internal Conditions
• “Reset” allows you to start the
sytem, while “Automate Irrigation
Control” allows you to automate
valve operation based on the soil
moisture value
• “Update Threshold” allows you to
vary when to allow valve operation.
It’s a 10-bit value ranging from 0
to 1023. Depending on the crop,
this value can be dynamically
adjusted.

7. Questions
Please email kaustubh85@gmail.com