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.
- 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%.
| SL. NO | Sensor |
|---|---|
| 1 | Light Dependent Resistor (LDR) |
| 2 | Soil Moisture Sensor |
| 3 | Temperature and Humidity Sensor (DHT11) |
| 4 | CO2 Gas Sensor (MQ135) |
| SL. NO | Output Device |
|---|---|
| 1 | Cooling Fan |
| 2 | Exhaust Fan |
| 3 | LED Bulb |
| 4 | Batteries |
| 5 | Electric Water Pump |
- 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
Pothuru Rohan, Srinivas, Nivriti Vytla, Nikunj Inamdar, Sreenidhy Pyvardha, Pranav Sai