CONSTRICTING THE BIVARIATE ANALYSISOFHIGHEST CROP YIELD PRODUCTION BASED ON DIFFERENT ZONES OF INDIA

Authors

  • Sasmita Kumari Nayak

Abstract

In analysis of crop yield production, emerging research fields are Machine Learning Model and Data Mining. In
agriculture, production of crops is a very much complex issue. Also, it is a big issue for farmers. Analysis of
crop yield production is a highly essential step for predicting the production of crop. This is an initial step of this
issue as well as for all types of problems. The analysis step is used to analyse for cultivation of which crops and
what actions should be taken whilegrowing season of the yields, which helps to the farmer for production of
crop. In this article, the analysis has been done for crops in terms of different zones, state wise top highest crops
and their comparisons. The outcomes of simulation illustrate the prediction and cultivation of crops that helps to
farmer for cultivating which crop in which region of India, so that the farmers will be benefited

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Published

2020-12-01

How to Cite

Sasmita Kumari Nayak. (2020). CONSTRICTING THE BIVARIATE ANALYSISOFHIGHEST CROP YIELD PRODUCTION BASED ON DIFFERENT ZONES OF INDIA. International Journal of Modern Agriculture, 9(4), 216 - 226. Retrieved from https://modern-journals.com/index.php/ijma/article/view/205

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Section

Articles