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Predictive Analysis of Crop Yield using Machine Learning Algorithm


Nitin Shettar , RVCE; Dr. B. M. Sagar, RVCE


Machine Learning Algorithm, Agricultural Production


Agriculture has highly significant role in the growth of Indian economy that pressurizes it to seek modern scientific approaches in order to increase the yield. Problems of limited availability of resources like land, labor etc. have made it to impart technology to revitalize the economy of the country. Machine learning has emerged with multipronged opportunities to aid data intensive agri-technologies domain. This paper proposes framework that makes use of C 5.0, SVM, Naive Bayes machine learning algorithms to predict the agricultural productions as low, medium and high yield. In addition to this we are calculating accuracy and time taken as metrics for the particular yield.

Other Details

Paper ID: IJSRDV7I21414
Published in: Volume : 7, Issue : 2
Publication Date: 01/05/2019
Page(s): 2021-2023

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