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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM26332
Volume:
7 |
10 |
Oct 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.
Identification of the plant diseases is the key to preventing the losses in the yield and quantity of the agricultural product. However, early detection and proper treatment can help minimize these losses. In today’s technology-driven world, an app-based solution for identifying and solving plant diseases has emerged as a powerful tool for farmers. The app could work by allowing farmers to take a photo of a diseased plant or crop and upload it to the app. The app would then use machine learning to analyze the image and identify the type of disease. Main goal of our project is after identification of medicinal plantand crop ,system will display basic information about plant such as local name, scientific name, and medicinal uses.
KEYWORDS
Publication Date
10/31/2023
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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