Cultivating crops on land suitable for them is important for the proper growth and yield of the crops. It sometimes becomes confusing to decide which crop is suitable for the soil type and how much yield to expect once sown. Also due to the changing climatic conditions, mineral contents in the soil change and so does soil quality. Since Tamil Nadu is a state vividly active in the agriculture sector, it makes it significant to have a model developed to find the best suitable crop to be grown in different parts of the state to maximize production and supply. This project exclusively focuses on crops that can be grown in Tamil Nadu by the soil and climatic conditions.
The project aims to recommend the suitable crop that can be grown in any district of tamil nadu considering the climatic conditions collected using Open Weather API and soil fertility details from the user. We also intend to predict the yield of the particular crop to help the cultivators stay prepared.
Classification algorithms are implemented to conclude the best crop to be cultivated considering the factors, the soil's mineral content ratios and weather conditions. A regression algorithm is then used to predict the approx. yield that can be expected considering the season of cultivation, crop type, area of land and district of cultivation.
Both the models are then brought together to get the soil details from the users and present weather conditions from the API to predict the best suitable crop and also its approx. yield.