What is Crop Prediction

In an agricultural country like India, planning and execution play an essential role in upsurging productivity with minimal cost. Crop production is based on different parameters like soil, moisture, temperature, rainfall, seeds, seasons, and crop production planning. Various parameters play crucial roles in crop production and in improving farmer economic situations. The data mining concept has come into the picture for a better understanding of the crop market. In this chapter, different machine learning methods are being analyzed to showcase the application and importance of applying machine learning tools in the improvement of crop production. The research continues with the requirement of kinds of fertilizers and pesticides, types of crops produced as per the soil type, and Rabi and Kharif crops distinction for different seasons. The chapter critically examines the machine learning techniques for crop production. The research will provide a framework for researchers in the agricultural and technology sectors to understand crop production.