ML-AgriCare: Enhancing Crop Yield Through Machine Learning-Based Crop Predictor, Fertilizer Recommender, and Plant Disease Detector

“ML-AgriCare: Enhancing Crop Yield through Machine Learning-based Crop Predictor, Fertilizer Recommender, and Plant Disease Predictor” introduces an integrated ML system revolutionizing agricultural practices. It encompasses three vital functionalities: Crop Prediction, Fertilizer Recommendation, and Plant Disease Detection. Through historical data analysis, weather patterns, and soil characteristics, Crop Prediction suggests suitable crops for specific regions, optimizing planting choices and minimizing risks. The Fertilizer Recommender provides tailored suggestions based on crop-fertilizer interactions, maximizing nutrient uptake and crop health. The Plant Disease Detector identifies diseases early, enabling targeted treatments, reducing crop losses, and promoting better health.ML-AgriCare fosters data-driven agriculture, promoting sustainable practices, and empowering farmers to make informed decisions, thus elevating crop yield and ensuring a resilient and prosperous agricultural future.