UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 12 Issue 11
November-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2511218


Registration ID:
570842

Page Number

c151-c154

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Title

Analysis of Plant Leaf Disease Detection

Abstract

Abstract—With the increasing requirement for sustainable farming practices that can satisfy food needs of the world, the adoption of new age technologies for agricultural field has gained momentum. Deep learning algorithms are widely considered to be among the most potent techniques for automated plant disorders’ detection and provide rapid and accurate identification of crop diseases.

Key Words

Automated Plant Disease Detection , Deep Learning Methods , Neural Network Topologies

Cite This Article

"Analysis of Plant Leaf Disease Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.c151-c154, November-2025, Available :http://www.jetir.org/papers/JETIR2511218.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Analysis of Plant Leaf Disease Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppc151-c154, November-2025, Available at : http://www.jetir.org/papers/JETIR2511218.pdf

Publication Details

Published Paper ID: JETIR2511218
Registration ID: 570842
Published In: Volume 12 | Issue 11 | Year November-2025
DOI (Digital Object Identifier):
Page No: c151-c154
Country: SAS Nagar , Mohali, Punjab, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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