UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 10 | October 2024

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Published in:

Volume 10 Issue 11
November-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2311083


Registration ID:
527446

Page Number

a669-a674

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Title

Cotton Disease Prediction Using Machine Learning

Abstract

Cotton cultivation is an important economic activity all over the world. However, it faces many challenges due to various pests and diseases that adversely affect the plant's leaf area. This project aims to develop a web application by using deep learning algorithms to identify and distinguish common cotton diseases, such as those caused by sucking and chewing pests, curl virus etc. The application will not only diagnose diseases but also recommend suitable solutions to farmers. Early disease detection is crucial for preserving crop yield. The proposed model, employing meta-deep learning and Convolutional Neural Networks (CNNs), promises accurate disease identification, contributing to the protection of cotton crops

Key Words

Deep Learning, Convolutional Neural Network (CNN), cotton leaf disease, crop disease identification

Cite This Article

"Cotton Disease Prediction Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.a669-a674, November-2023, Available :http://www.jetir.org/papers/JETIR2311083.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

"Cotton Disease Prediction Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppa669-a674, November-2023, Available at : http://www.jetir.org/papers/JETIR2311083.pdf

Publication Details

Published Paper ID: JETIR2311083
Registration ID: 527446
Published In: Volume 10 | Issue 11 | Year November-2023
DOI (Digital Object Identifier):
Page No: a669-a674
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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