Solar-powered smart irrigation system using Machine learning & IoT

Abstract

The scarcity of water poses a significant obstacle in the agricultural sector, with conventional irrigation techniques often proving to be inefficient and wasteful. To tackle this issue, a solution is proposed in the form of a smart solar irrigation system using the Internet of Things technology and Random Forest algorithms. This system aims to optimize water usage in agriculture by automating irrigation processes, enhancing the yields of crops, and mitigating the usage of water. The paper outlines a methodology for implementing and designing such a system, which incorporates solar panels, a Raspberry Pi module, sensors, IoT devices, and random forest algorithms. By utilizing data from sensors, the system intelligently controls the water pump by getting notifications to mobile devices, thereby simplifying the irrigation process.