Crop Price Prediction Using Machine Learning Naive Bayes Algorithms

Abstract

In our nation, development is the crucial mainstay of the economy improvement. A large portion of families are dependent on cultivation. Most of the land is used for cultivation to resolve the issues of the quantity of occupants in the area. Modernize agrarian practices to meet the mentioning requirements. Our assessment hopes to handle the issue of yield cost conjecture even more feasibly to ensure farmers’ profit. To consider better plans, it uses Machine Learning different techniques on various information. In our day today life we are using the agricultural products, Agricultural product price will we varied from one month to another month. Sometimes weather conditions crop price will be varied from one season to another season. If any major price fluctuation is happened in the Agricultural field means it will affect the Gross Domestic Product (GDP). In this paper we are going to predicting the crop price fluctuations from one season to another season Which was very useful for farmers. These predications will help to farmer in the way of proper analysing the crop price to the next season.