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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM34069
Volume:
8 |
5 |
May 2024
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.
Dedicated to the welfare of Indian farmers, this research unveils ‘Green Doctor,’ a groundbreaking web-based solution aimed at combating plant diseases in India’s agricultural sector. Leveraging MobileNet Convolutional Neural Network (CNN), Green Doctor promises swift and precise disease identification in plants and crops. Through a robust methodology utilizing Indian plant disease datasets and a streamlined CNN architecture, this solution offers a beacon of hope for farmers. Results showcase the efficacy of rapid disease detection, facilitating timely intervention to mitigate crop losses and bolster agricultural productivity. Positioned as a free and user-friendly tool, Green Doctor embodies accessibility, speed, and contextual relevance, serving as a tribute to the Indian farming community. By reducing pesticide reliance, enhancing product quality, and bolstering farmer income, Green Doctor paves the path towards sustainable agriculture while enlightening stakeholders about plant diseases.
KEYWORDS
Publication Date
12/31/45426
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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