Paper Title
Plant Disease Identification Using Supervised Learning
Article Identifiers
Authors
Nishana N , Nowfia N , Subina Thajudeen , Sumi Sunil , Sithara
Keywords
Convolutional Neural Network (CNN), Deep Learning, Supervised Learning
Abstract
In recent years, a server-based and mobile-based approach to disease identification has been used. Detecting disease signals quickly and accurately is a critical difficulty in crop protection. Pests and Diseases results in a destruction of crops or part of the plant resulting in decreased food productions leading to food insecurity. Visual identification of diseases in a large farm by experts and agronomists is the primary approach in developing countries which is time-consuming and costly. The proposed system is a mobile application for farmers It also provide disease detection, provide seeds and pesticide name can be prescribe to farmer. Overall, using machine learning to train the large datasets available publicly gives as a clear way to detect the disease present in plants.
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"Plant Disease Identification Using Supervised Learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 5, page no.732-736, May-2022, Available :https://ijnrd.org/papers/IJNRD2205080.pdf
Issue
Volume 7 Issue 5, May-2022
Pages : 732-736
Other Publication Details
Paper Reg. ID: IJNRD_181408
Published Paper Id: IJNRD2205080
Downloads: 000121148
Research Area: Engineering
Country: -, -, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2205080.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2205080
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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