Prediction of Seasonal Crop Diseases using Machine Learning Algorithm

Agriculture has become extremely vital in human lives. Food is essential for all living beings to survive. Crop output yield has recently become a crucial factor. But these days, it is harder to acquire the ideal crop yield because certain disease influence the crops during their growth and occasionally go undiscovered by some farmers, which leads to the poor crop yield. This study focuses on using machine learning techniques to identify diseases that have an impact on crop yields during a specific season, and then adding fertilizers and nutrients to the crops to assist them in fighting off disease and aid farmers in producing high-quality crops.