ML- and IoT-Based Crop Prediction System

The use of IoT and machine learning technologies to develop intelligent agricultural system is discussed here. This integrated system addresses the three critical aspects of farming such as crop prediction, fertilizer recommendation, and automatic irrigation. The crop prediction system leverages advanced ML algorithms to analyse crucial factors. This analysis enables the system to suggest the most suitable crop for specific environmental conditions. Similarly, the fertilizer recommendation system tailors its recommendations based on the crop type and existing soil nutrient levels, optimizing crop yield and overall efficiency. Additionally, the automatic irrigation system utilizes real-time soil moisture levels and accurate weather forecasts to schedule irrigation effectively, minimizing water waste while providing the ideal amount of water for the crops. The study successfully implements and rigorously evaluates the performance of these advanced systems, presenting their achievements and potential benefits through meticulous simulations.