Paper Details

India being an agricultural country, its economy predominantly depends on agriculture yield growth andallied agro industry products. In India, agriculture is largely influenced by rainwater which is highly unpredictable.Agriculture growth also depends on diverse soil parameters, namely Nitrogen, Phosphorus, Potassium, Crop rotation,Soil moisture, Surface temperature and also on weather aspects which include temperature, rainfall, etc. India now israpidly progressing towards technical development. Thus, technology will prove to be beneficial to agriculture whichwill increase crop productivity resulting in better yields to the farmer. The proposed project provides a solution forSmart Agriculture by monitoring the agricultural field which can assist the farmers in increasing productivity to a greatextent. Weather forecast data obtained from IMD (Indian Metrological Department) such as temperature and rainfalland soil parameters repository gives insight into which crops are suitable to be cultivated in a particular area. This workpresents a system, in form of an android based application, which uses data analytics techniques in order to predict themost profitable crop in the current weather and soil conditions. The proposed system will integrate the data obtainedfrom repository, weather department and by applying machine learning algorithm: Multiple Linear Regression, aprediction of most suitable crops according to current environmental conditions is made. This provides a farmer withvariety of options of crops that can be cultivated. Thus, the project develops a system by integrating data from varioussources, data analytics, prediction analysis which can improve crop yield productivity and increase the profit margins offarmer helping them over a longer run.

Prof. D.S. Zingade, Omkar Buchade, Nilesh Mehta, Shubham Ghodekar, Chandan Mehta, “Crop Prediction System using Machine Learning”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 16, pp. -, January 2017.