A Machine Learning Approach for Recommending Soil Nutrient Levels

India's coastal state of Tamil Nadu is confronted with difficulties in agriculture as a result of climate-related variables and unpredictability. Even though both the people and the area are expanding, there is no way to achieve the desired rise in productivity. The expansion of the information technology industry has resulted in the creation of a system that allows farmers to get suggestions about the production of crops. The recommendation of crops is based on the amount and meteorological conditions of the area, and data analytics makes it possible to extract meaningful information from large agricultural datasets. An analysis of the crop dataset has been performed, and suggestions have been given depending on the season and the level of production.