Integrated IoT and AI System for Soil Analysis and Crop Recommendation in Precision Farming

This project comes up with a low-cost precision farming system, involving the integration of IoT sensing and machine learning to provide real-time crop recommendations.The transmitted sensed data is sent to ThingSpeak cloud platform via the HTTP protocol to be processed and analyzed. The machine learning model that can be used to analyze the real time field data and suggest appropriate crops in the current soil and environmental conditions is an XGBoost-based machine learning model. The findings are delivered in the form of web dashboard and mobile app enabling farmers to make informed and timely decisions. The system illustrates the way the use of affordable smart farming can benefit the use of resources and productivity in the agricultural sector.