Agriculture is one of the most important occupation practiced in India. It is the broadest economic sector and plays an important role in overall development of the country. About 60% of the land in India is used for agriculture in order to suffice the needs of 1.2 billion people. Thus, modernization of agriculture is very important and thus will lead the farmers our culture towards profit. The proposed method aims to provide an efficient and accurate solution for prediction of yield rate of crop and also providing alternate crop based on given conditions. So, using machine learning algorithms and techniques such as Linear Regression, Random Forest Regressor to identify the pattern among data and process it as per the input condition, the method predicts yield rate of crop and alternate crop. The proposed method takes into consideration factors like location and weather conditions to process the data.