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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 120

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Paper Title: Smart Agri : A CNN based web application for plant leaf disease detection
Authors Name: Himangi Dani , Pooja Bhople , Hariom Waghmare , Kartik Munginwar , Prof. Ankush Patil
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IJRTI_182713
Published Paper Id: IJRTI2206324
Published In: Volume 7 Issue 6, June-2022
DOI: http://doi.one/10.1729/Journal.30805
Abstract: 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.
Keywords: Leaf disease prediction, Convolutional Neural Network (CNN), deep learning, image processing.
Cite Article: "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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ISSN: 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
Publication Details: Published Paper ID: IJRTI2206324
Registration ID:182713
Published In: Volume 7 Issue 6, June-2022
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.30805
Page No: 2152 - 2157
Country: Yavatmal, Maharashtra, India
Research Area: Computer Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2206324
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2206324
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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