The activity of preparing the soil for planting various crops and raising livestock is known as farming and the economy of a complete nation heavily depends on the agricultureAgriculture. All these while farmers have used traditional farming methods. These methods used to take a lot of time and weren’t so accurate which resulted in the decrease of population. With almost 60% of the Indian people employed in this sector, agricultureAgriculture is one of the largest contributors to India’s economy (18% of GDP). The decisions made at each level must be brief due to the numerous aspects that affect this industry. From environmental factors like variability in soil, rainfall, temperatures to man-made inputs like fertilizers, various levels of input, etc., but this paper is looking into temperature and rainfall as a deciding factor. When the environmental factors are not conducive, crop selection using machine learningMachine learning can be used to minimize the losses. In this paper, we have analyzed the production of crop yields in the state of Karnataka, based on temperature and rainfall as environmental factors. Here, the predictionPrediction of when the crop production gives maximum yield according to the season and climate factors.