Crop Yield Prediction And Efficient Use Of Fertilizer.

Computer Engineering

As we all know that India being an agricultural country it predominantly depends on the growth in agriculture field and also the agro-industry products. The emerging research field in analyzing the crop yield by the Data mining technique and has helped the sector growth drastically. In the recent years farmers are interested in knowing the yield that he/she is about to expect. As a result we analyze the various related attributes such as state name, district name, crop year, season, crop name, soil moisture, humidity, temperature and area, along with it, the percentage of nutrients like Nitrogen (N), Phosphorous (P), and Potassium (K) are considered. Later all the above attributes are analyzed and then trained using various machine learning algorithm such as Random forest regression algorithm for creating the model. Finally the model is to be precise and accurate in predicting the yield to be expected for the particular crop grown and also the fertilizers to be added to the crops to enhance the crop yield and increase the farmers’ revenue.

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