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Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.7, No. 4)

Publication Date:

Authors : ; ;

Page : 1-7

Keywords : Crop Analysis; Crop Yield; Machine learning; Prediction; Random Forest.;

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The agriculture plays a dominant role in the growth of the country's economy.Climate and other environmental changes has become a major threat in the agriculture field. Machine learning (ML) is an essential approach for achieving practical and effective solutions for this problem. Crop Yield Prediction involves predicting yield of the crop from available historical available data like weather parameter,soil parameter and historic crop yield.This paper focus on predicting the yield of the crop based on the existing data by using Random Forest algorithm. Real data of Tami lnadu were used for building the models and the models were tested with samples.The prediction will helps to the farmer to predict the yield of the crop before cultivating onto the agriculture field. To predict the crop yield in future accurately Random Forest, a most powerful and popular supervised machine learning algorithm is used.

Last modified: 2018-04-10 20:51:53