A New Approach of Crop Yield Prediction Using Machine Learning Techniques

  • Jwalitha Ubbana, Nagamani Uddamari, P. Praveen

Abstract

Agribusiness considered an import field everywhere on the existence where there are numerous difficulties in taking care of issues during the time spent assessing crops dependent on the conditions. This has become a test for agricultural nations. Utilizing the most recent advances numerous organizations are utilizing IOT based administrations and Mechanical innovation to lesser manual work. These strategies are for the most part helpful for the situation on lessening manual work yet not in expectation measure. In this task crop yield forecast utilizing Machine learning most recent ML innovation and KNN grouping calculation is utilized for expectation crop yield dependent on soil and temperature factors. Generally, the yield examination and rural creation expectations were done dependent on factual models. Notwithstanding, with the environment of the world changing to radical degrees, these measurable models have gotten uncertain. Henceforth, it gets reasonable that we resort to other less obscure strategies.

Published
2021-07-27
How to Cite
Jwalitha Ubbana, Nagamani Uddamari, P. Praveen. (2021). A New Approach of Crop Yield Prediction Using Machine Learning Techniques. Design Engineering, 2800 - 2810. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/2959
Section
Articles