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Use of machine learning techniques in tea crop yield prediction: An analytical review.

Authors :
Nagpal, Pallavi
Chaudhary, Deepika
Singh, Jaiteg
Source :
AIP Conference Proceedings. 2023, Vol. 2916 Issue 1, p1-9. 9p.
Publication Year :
2023

Abstract

"The best ever non– alcoholic drink which is consumed in India after water is tea ". India has privileged to stand in thetop listing World in tea production. In India, tea plantation contributes tremendously in the economic development. Nowadays,machine learning is playing significant role in the field of agriculture. With the help of machine learning in tea crop, which results in productivity enhancement and better classification of tea leaves, weather prediction, smart farming, crop disease detection, and to analyze the various effects of soil in future prediction. This paper aims at providing detailed information on various machine learning approaches proposed in the past five years by emphasizing the various techniques used in artificial intelligence in tea crop yield in various states of India and a broad where tea production has contributed in national income. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
2916
Issue :
1
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
174016170
Full Text :
https://doi.org/10.1063/5.0177730