IJRTI
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

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Paper Title: Plant Disease Detection and Classification by Deep Learning
Authors Name: Harsh Vardhan Singh , Harshit Trivedi , Narendra Kumar Jha
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IJRTI_187349
Published Paper Id: IJRTI2306111
Published In: Volume 8 Issue 6, June-2023
DOI:
Abstract: Every types of plant's advancement is impacted by the infections it harbors, subsequently early conclusion is fundamental. Various AI (ML) models have been utilized for the recognizable proof and characterization of plant infections, however with the advancement of Profound Learning (DL), a subset of ML, this field of concentrate presently hopes to have huge potential for further developed exactness. Various created/changed DL models are utilized related to an assortment of perception ways to deal with distinguish and group the side effects of plant illnesses. What's more, an assortment of execution measurements are utilized to assess these structures and approaches. The definite reasoning of the DL models used to address different plant sicknesses is given in this article.
Keywords: plant disease; deep learning; convolutional neural networks (CNN), GANs
Cite Article: "Plant Disease Detection and Classification by Deep Learning", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 6, page no.726 - 733, June-2023, Available :http://www.ijrti.org/papers/IJRTI2306111.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: IJRTI2306111
Registration ID:187349
Published In: Volume 8 Issue 6, June-2023
DOI (Digital Object Identifier):
Page No: 726 - 733
Country: BASTI, U.P, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2306111
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2306111
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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