This project presents an automatic water pump controller that utilizes rain prediction and various sensors to optimize irrigation efficiency. The system is based on the ESP-32 microcontroller, which integrates data from multiple sensors, including a DHT-11 for temperature and humidity monitoring, a soil moisture sensor to assess soil saturation levels, and a rain prediction system to anticipate rainfall.   The controller activates a water motor via a relay when the soil moisture falls below a predefined threshold, ensuring crops receive adequate water. The LCD display provides real-time feedback on environmental conditions and system status. By implementing this automated solution, the project aims to conserve water resources, reduce manual labor, and enhance agricultural productivity. The integration of IoT technologies not only facilitates remote monitoring but also supports data-driven decision-making for sustainable farming practices.

 

Objectives:  

1. Automate Irrigation.
2. Predict Rainfall.
3. Display Real-Time Data.
4. Conserve Water.
5. Ensure User-Friendly Operation.
6. Enable Remote Monitoring.

The major building blocks of this project are:

• Power Supply.
• Esp-32.
• Soil Moisture Sensor.
• Water Motor.
• Relay.
• LCD Display.
• Dht-11.

    Software’s used:  

1. Arduino IDE studio compiler.
2. Express SCH for Circuit Design.
3. Embedded C language.

                 

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