IOT Smart Agriculture
Our cost-effective Automation system simplifies maintenance and monitoring tasks, addressing labor-intensive processes and data limitations to ensure optimal growth conditions. Through controlled environments and the utilization of the Arduino Uno microcontroller board, our solution enhances yields while minimizing labor expenses.
Flowchart Algorithm
Experimental Setup and Results
- Sensors collected data for soil moisture, CO2, light, and temperature.
- Actuators adjusted conditions for optimal growth.
- Tomato plants in Smart Agriculture system yielded 25% more than open field.
- Reduced water and fertilizer usage by 50%.
Sensors Used
SL. NO | Sensor |
---|---|
1 | Light Dependent Resistor (LDR) |
2 | Soil Moisture Sensor |
3 | Temperature and Humidity Sensor (DHT11) |
4 | CO2 Gas Sensor (MQ135) |
Output Devices
SL. NO | Output Device |
---|---|
1 | Cooling Fan |
2 | Exhaust Fan |
3 | LED Bulb |
4 | Batteries |
5 | Electric Water Pump |
Libraries Used
Output Graphs (Sample)
- Soil moisture: 45%, 50%, 48%
- Temperature: 27°C, 29°C, 28°C
- CO2: 800 ppm, 900 ppm, 850 ppm
- Light intensity: 3000 lux, 3200 lux, 3100 lux
Authors
Pothuru Rohan, Srinivas, Nivriti Vytla, Nikunj Inamdar, Sreenidhy Pyvardha, Pranav Sai