Agritech Revolution: Smart Agriculture System Using IOT and Machine Learning

– The “AgriTech Revolution” project presents an integrated smart agriculture system that leverages IoT sensors, machine learning, and real-time data analytics to enhance farming efficiency and crop yield. Built using Java/XML for Android and Firebase Realtime Database, the system enables farmers to interact with live environmental data through a user-friendly mobile application. Sensors embedded in soil and crops collect crucial parameters like moisture, temperature, and nutrient levels, which are transmitted to the cloud. Based on this data, a machine learning-based Decision Tree algorithm recommends the most suitable crops for current conditions, optimizing productivity and resource use. An AI-powered chatbot is embedded within the app to assist farmers with real-time guidance and responses to common queries. Additionally, the app includes an e-commerce module (via WebView) to enable farmers to purchase agricultural tools and resources online. The system also supports IoT-enabled water motor control, which automates irrigation based on soil moisture levels. By combining automation, AI, and IoT, this solution empowers farmers with data-driven decision-making, thereby contributing to sustainable and modern agricultural practices.