Crop Yield Prediction Techniques Using Machine Learning Algorithms

Abstract

Food is one among the major necessities that is required for the survival of the humanity along with water, clothes. In Indian G.D.P agriculture plays a humongous role after which IT sector comes into play. The correct crop selection at the correct time of the year plays a vital role in getting good crop yield. In general, the methods used by farmers are based on the hype in the market and based on ancestral instincts which are proved to be not so effective. Using the present system, we use the data considered which is preprocessed and based on this data certain models like Decision tree, Naïve Bayes, Support Vector Machine, Logistic Regression, Random Forest are trained, out of which Naïve Bayes is showing higher accuracy which helps in suggesting the crops. The crops suggested are based on the various factors like nitrogen, phosphorus, pH level, temperature and humidity. The data will be highly effective in helping the farmers to get good crop yield.