Real-Time Soil Moisture Sensing Using Arduino for Automated Plant Irrigation System

Irrigation constitutes a fundamental element of agriculture and food production. Outdated methods in both developing and underdeveloped nations result in significant water wastage during this crucial process. This project proposes an inventive method for automating the control of water release valves in micro irrigation networks with prediction of required humidity by weather condition using artificial intelligence (AI). This system seeks to close the gap between water supply and crop demand while also optimizing resource use and reducing environmental impact by using AI-powered soil moisture monitoring and decision-making processes. This project address the key factors like varying demand of water for crops based upon the growth stage, weather conditions and plant type. This reducing the usage by adopting the method of micro irrigation which reduces the usage of water by 70–80% than conventional methods of irrigation. This project also provides a user-friendly interface to efficiently control the watering of plants when needed by the user.