The document proposes a smart irrigation system using IoT and machine learning. The solar-powered system collects data from sensors on soil moisture, temperature, humidity and other factors. It uses machine learning algorithms to analyze the data and predict future conditions to automate irrigation. This aims to minimize water waste, human errors and increase farm revenue by precisely controlling irrigation based on real-time sensor data and predictions. The system is designed to be affordable and accessible to farmers through a smartphone app.