Agriculture is fraught with uncertainty due to climate change, rainfall, soil types, and many other factors. Crop prediction in agriculture is a major dilemma   and there are huge data   sets where farmers struggle to   predict the right seed. In this situation of population growth, it is necessary to increase the production of crops and agricultural products at the same time in order to meet people's needs. These problems can be solved with machine learning algorithms. This white paper focuses on those solutions. Real-time environmental parameters such as soil type, precipitation, humidity, and past weather are recorded for the Tamil Nadu district, and ANN algorithms are used for crop prediction and accuracy