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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53504
Volume:
9 |
11 |
Nov 2025
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.
Domain: Artificial Intelligence Subdomain: Computer Vision Problem Statement: Plant diseases significantly reduce crop yield and quality. Traditional disease detection methods rely on manual observation, which is often slow, inaccurate, and not easily accessible to all farmers. There is a need for an automated system that can quickly and accurately detect plant diseases using technology. Solution: The Plant AI-Based Disease Detection System is a desktop web application that uses deep learning to identify plant leaf diseases. Users upload a leaf image, which is analyzed by a trained CNN model to detect the disease. The system then displays the disease name along with precautionary measures, helping users take timely action and improve crop productivity.
KEYWORDS
Publication Date
6/10/2025
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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