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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM19501
Volume:
7 |
4 |
Apr 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.
Agriculture plays a vital role in our day-to-day life. Identification of the disease of plant leaves is very important to prevent the losses in the yield. The plant diseases such as fungi, bacteria and viruses. The leaf diseases completely destroy the quality of the leaf. In this review we present some critical survey on the challenges which we are currently facing and also various methodology which includes Machine learning, deep learning and image processing algorithms which are tested on various plant leaves to detect diseases which helps to increase the yield. Finally, we identify the challenges and some opportunities for future developments in this area
KEYWORDS
Publication Date
4/26/2023
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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