Soil Analysis, Disease Detection and Pesticide Recommendation for Farmers using AI and ML

Our project aims to analyze the soil and detect plant disease and pesticides recommendation using AIML. The model gives the related information of the crop that can be grown in that soil using the soil test results. Plant disease detection help farmers use appropriate pesticide. As Agriculture is the backbone of our country. We aim to benefit farmers to minimize the losses in farming by providing rich recommendations and insights about the crops using current technology like machine learning which allows more efficient and precise farming with less manpower with high- quality production. Artificial Intelligence and machine learning are efficient ways to monitor and identify possible crop health issues or nutrient deficiencies in the soil and minimize post-harvest processing, to fortify agricultural sustainability and maximize productivity. Advancement in the area of machine learning has helped improve gains in agriculture. Machine learning is the current technology which is benefiting farmers to minimize the losses in farming by providing rich recommendations and insights about the crops.