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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM18374
Volume:
7 |
3 |
Mar 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.
Plant diseases can have significant economic and environmental impacts, including reduced crop yields and the spread of disease to other plants. Plant identification can also be a challenging task, even for experts, due to the wide range of plant species and the various factors that can influence their appearance. In this project, we propose to develop a comprehensive solution for plant disease identification and management using deep learning and social media. Our solution will include a mobile app for identifying common plant diseases, a deep learning system for accurate and efficient plant identification, and a social networking site for plant lovers to share photos, tips, and advice. We will also integrate e-commerce functionality, allowing plant sellers to easily list and sell their plants online through popular platforms such as Etsy and eBay. Our solution aims to improve plant health, reduce the economic and environmental impacts of plant diseases, and enhance the online plant shopping experience for customers.
KEYWORDS
Publication Date
3/28/2023
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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No funding information available for this research.
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