Article

Automatic Irrigation and Weather Intelligence

Author : 1D. Vamsi, 2B. Prem kumar, 3D. Rohith, 4A. Lakshmi charan, 5B. Trinath, 6Mr. G. Koteswarao

The Automatic Irrigation and Weather Intelligence System is developed to ensure efficient and automated water management for agricultural fields. The system integrates multiple sensors, including a soil moisture sensor and a rain sensor, to monitor environmental conditions that directly influence irrigation needs. A TDS sensor is included to measure soil nutrient levels, enabling farmers to understand soil quality and plan fertilizer requirements. Additionally, an IR sensor is used for theft or intrusion detection, providing security alerts for the farm area. A Raspberry Pi functions as the central controller, acquiring all sensor data and operating the irrigation pump through a relay. The system connects to an IoT cloud platform, where real-time data such as soil moisture, rainfall status, nutrient levels, weather information, and security alerts are stored and visualized. This allows users to remotely monitor field conditions and motor status from anywhere. Cloud intelligence model is used to predict short-term weather conditions such as rainfall, humidity, and temperature. These predictions help the system decide whether irrigation is required, thereby preventing unnecessary watering during rainfall or high soil moisture conditions. All sensor readings, motor status, and weather forecasts are stored in the cloud and can be viewed remotely by the user. By combining multi-sensor monitoring with IoT-based weather intelligence, the system ensures optimal water usage, enhances soil health awareness, reduces manual labour, prevents over-irrigation, and provides an additional layer of farm security. This solution supports modern precision agriculture and offers a reliable, automated approach to improve productivity and resource efficiency.


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