Problem:

Farmers often overwater crops due to manual irrigation practices, leading to water wastage, soil erosion, and increased energy costs. Conversely, underwatering during dry spells can damage crops. Additionally, environmental factors like light intensity, temperature, and humidity significantly impact plant growth but are rarely monitored in small-scale farms.

Benefits to Farmers:

– Water Conservation: Reduces water usage by watering only when soil moisture falls below optimal levels.

– Energy Savings: Automates water pumps, minimizing manual labor and electricity costs.

– Improved Crop Yield: Maintains ideal growing conditions by balancing moisture, light, and climate data.

– Remote Monitoring: Allows farmers to track environmental metrics via displays or future cloud integration.

– Scalability: Systems can be expanded to cover larger fields with additional sensors.

Solution:

Use ESP32 to integrate soil moisture sensors, DHT11 sensors, and photoresistors to monitor soil moisture, air temperature/humidity, and light intensity. Automatically activate water pumps via relays when soil moisture drops below thresholds. Display data on OLED screens for real-time monitoring.

Process:

1. Sensor Integration:

– Soil moisture sensors measure soil hydration.

– DHT11 sensors track air temperature/humidity.

– Photoresistors detect ambient light levels.

2. Decision Logic:

– ESP32 compares sensor readings to predefined thresholds.

– Activates water pump (via relay) if soil is dry and light levels indicate daytime.

3. User Feedback:

– OLED screens display live data (e.g., “Moisture: 45%”, “Temp: 28°C”).

– Optional: Add buzzer alerts for critical low moisture or high temperature.

Parts Used:

ESP32, Soil Moisture Sensors (x2), DHT11 (x5), Photoresistors (x10), Relays (x5), OLED Screens (x4), Breadboards (x6).