INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
Keywords:
Convolutional Neural Network (CNN), Deep Learning, Supervised Learning
Cite Article:
"Plant Disease Identification Using Supervised Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 5, page no.732-736, May-2022, Available :http://www.ijnrd.org/papers/IJNRD2205080.pdf
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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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