Published Paper Details:

Agriculture is important and foremost factor which is important for survival. Machine Learning could be a crucial perspective for acquiring real-world and operative solution for crop yield issue. Machine Learning is a conspicuous decision support tool for crop yield prediction. this paper focusses mainly on predicting the yield of the crop by using by applying various machine learning algorithms. The farmer provides the attributes of the soil as input to the application. India being agriculturally based dependent country the economic status of the country is completely and partially dependent on this Agricultural yield that is affected by the organic, economic and seasonal causes. Estimation of agricultural output is big challenging task for this country as of the population status talking in consideration. The main objective is to gather data that can be stored and analyzed for forecasting the crop yield. This helps farmers to choose the best suitable crop. Also, this project aims at bringing an enhancement in the field of agriculture by achieving better results in predicting crop yields. With the help of machine learning techniques with proper optimizations. The statistical models built to provide accurate and precise decision. The output of this project would help farmers pick up most suitable crops to be grown depending on the factors like season and area available with least possible chances of loses.