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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM52275
Volume:
9 |
8 |
Aug 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.
Agriculture faces major challenges due to crop diseases that reduce yield and quality.Traditional detection methods are slow, costly, and often inaccurate.The Leaf Health Detection System is developed to solve this issue using Deep Learning.It employs a Convolutional Neural Network (CNN) to analyze and classify leaf images.A Streamlit-based web application allows users to upload images and get instant results.The backend handles image preprocessing, prediction, and result visualization.Testing proved the system to be accurate, fast, and user-friendly.This project shows how AI can support farmers in adopting smart farming practices.
KEYWORDS
Publication Date
8/29/2025
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.
Funding Information
No funding information available for this research.
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