Data Mining Techniques for Detection and Prediction of Crop Diseases and Pests

Agriculture is a significant yet low-paying occupation in India. Machine learning has the ability to transform agriculture by altering the revenue scenario through crop selection. The goal of this study is to estimate agricultural yield using various machine learning techniques. The outcomes of various solutions are compared using mean absolute error. The predictions of machine learning algorithms will help farmers decide which crop to produce to optimize yield.