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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM23273
Volume:
7 |
6 |
Jun 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In developing countries like India, agriculture has a major role to play but the issue of food security continues to be an important one. Because of the lack of storage facilities, transportation and plant disease there is a high incidence of crop loss. An automatic system allowing identification of these diseases and providing assistance for farmers to manage their crop loss needs to be put in place. Farmers are using a conventional method of identifying plant diseases with their naked eye and it is not possible for all farmers to do the same. In the agricultural sector, there is a need to take advantage of computer vision due to advances in artificial intelligence.Deep learning is the preferred method of starting with this problem, due to its rich libraries and user experience as well as developer friendly environment.
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Publication Date
9/5/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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