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)
Agricultural productivity is highly dependent on the economy. One of the reasons for plant disease identification is plant diseases are pretty common in fields. If proper nurture is not done in that specified area, a severe impact will be observed in plants and affects the quality, quantity, or productivity of the respective product. To detect the disease effect on the leaf, the CNN algorithm is used for image analysis. The automated identification of disease symptoms is useful for upgrading agricultural products. It reduces the cost of pesticides, insecticides, and other goods which will increase the productivity of agriculture.
"A STUDY ON LEAF DISEASE DTECTION USING PYTHON OR MATHLAB", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.d404-d408, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306340.pdf
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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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