Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)
The most important sector of our nation’s economy is agriculture. Various types of diseases damage the plant leaves and affect the production of crop. Therefore leaf disease detection is important. Regular maintenance of plant leaves means profit in agricultural productivity. Farmers may not have expertise in leaf disease prediction. To tackle this problem, we have developed a web application based on Convolutional Neural Network (CNN) model, deep learning and image processing techniques, which can predict leaf disease given the image of affected leaf.
"Smart Agri : A CNN based web application for plant leaf disease detection", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.7, Issue 6, page no.2152 - 2157, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206324.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator