Predicting Crop on the basis of Climatic Parameters using Machine Learning Approaches

India as a country is largely dependent on agriculture. New techniques are being implemented by government and farmers for increasing crop production and crop yield. AI and machine learning are most popular technologies that are being used by government and big private firms for predictions in various sectors like agriculture, healthcare, auto mobile etc. The yield is dependent on factors like weather, fertilizer, pesticide, soil and rain. This article discusses about implementation of machine learning models in agriculture where we are predicting crop that is suitable for the soil at a particular place keeping in mind nutrients and weather of that place. This work will help farmers who are new and will guide them for showing crops by the help of machine learning, which is most advanced technologies to predicates the crop for future forecasting.