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Leaf disease identification using machine learning models.

Authors :
SivaramKrishnan, M.
Rajini, A. R.
Logu, K.
Kumarasamy, M.
Jayaprakash, S.
Gandhi, R. R. Rubia
Ramkumar, M. Siva
Source :
AIP Conference Proceedings. 2022, Vol. 2519 Issue 1, p1-8. 8p.
Publication Year :
2022

Abstract

The field which encompasses predictive data analysis known as machine learning is quickly developing. Agricultural outcomes have been improved due to its suitability in automation, weather prediction, and share market applications. This article covers the latest on using machine learning to various fields in agriculture. The broad variety of machine learning methods applicable for said predictive modeling within important agricultural It is a great difficulty to be living in a densely populated nation, since one must meet the requirements of everyone. Agriculture ranks ahead of almost everything else when it comes to moving our nation forward. Machine learning makes the system adaptive to various environmental conditions by reducing human involvement. This article talks about the many algorithms for choosing the best for the application. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
2519
Issue :
1
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
159471063
Full Text :
https://doi.org/10.1063/5.0109675