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

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Volume 11 Issue 12
December-2024
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2412263


Registration ID:
551975

Page Number

c538-c545

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Title

A Comprehensive Study on Detection and Classification of Sugarcane Leaf Diseases

Abstract

This survey deals with systematically collecting and analyzing data from a specific demographic to understand their experiences, preferences, and challenges. It aims to gather both quantitative and qualitative data to inform and enhance product and service development, understand customer behavior, gauge public opinion, and identify areas for improvement.

Key Words

Sugarcane Disease; Deep Learning; Convolutional Neural Networks (CNNs); Artificial Intelligence

Cite This Article

"A Comprehensive Study on Detection and Classification of Sugarcane Leaf Diseases", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.c538-c545, December-2024, Available :http://www.jetir.org/papers/JETIR2412263.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

"A Comprehensive Study on Detection and Classification of Sugarcane Leaf Diseases", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. ppc538-c545, December-2024, Available at : http://www.jetir.org/papers/JETIR2412263.pdf

Publication Details

Published Paper ID: JETIR2412263
Registration ID: 551975
Published In: Volume 11 | Issue 12 | Year December-2024
DOI (Digital Object Identifier):
Page No: c538-c545
Country: Tadepalligudem, Andhra Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR2412263
Published Paper PDF: https://www.jetir.org/papers/JETIR2412263

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