Crop Recommendation System through Soil Analysis Using Classification in Machine Learning

Abstract

India is the land of agriculture and it is the major source of economy.70% of Indian population directly relies on agriculture. The common problem existing among the young Indian farmers is to choose the right crop based on the soil requirements. Due to this, they face a serious setback in productivity. Our work proposes to help farmers determine the soil quality by doing analysis on its various parameters and to suggest crops based on the results obtained using machine learning approach. The system uses the Classification algorithm of K nearest neighbour to improve the efficiency of Crop Recommendation System. The system maps the soil and crop data to predict the list of suitable crops for the soil and it also provides the information about nutrients which are deficient in soil for the particular crop . Hence it leaves upon the user to decide on the crop to be sown. Thus, the system helps to provide knowledge to the dilettante farmers.