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Volume 11 | Issue 11 | November 2024

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Published in:

Volume 11 Issue 10
October-2024
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2410515


Registration ID:
549926

Page Number

f180-f183

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Title

EARLY DISEASES DETECTION ON MAIZE AND COTTON

Abstract

: Plant diseases pose a significant threat to global food security, with maize and cotton being important crop in many regions. Maize is not only essential for food purpose but also use in industries. Maize is primary food in some of the regions because it is rich source of carbohydrates and provides nutrient. Cotton is crucial crop in many regions and it is widely used in industries for its fiber. Cotton is mostly used in textile industries for making clothes. The rapid rise of diseases has the potential to destroy the hectares of crops in large amount, and it is resulting in economic and financial losses for farmers. Maize disease effect on reduction of both quality and quantity of agricultural products. Cotton disease can cause a significant reduction in production, quantity and quality. The rise of diseases also effects on economy rate of nation. The prevention of diseases is necessary for reduce the problems of farmers and nations also. It is necessary to identify accurate diseases on crops to solve the problems of farmers. The machine learning technique is used to early detection of diseases on crops. Image processing technique is used to extract the similar features from leaf images, capturing visual symptoms of diseases. This technology is used to categorize the images in different disease or healthy state. The feature of categorizing images is fed into different machine learning algorithms to classify the images into various categories such as disease state and healthy state. The developed model aims to accurately identify diseases at their early stages, enabling timely interventions and reducing the crop losses. This research contributes to the development of agriculture system for sustainable management.

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"EARLY DISEASES DETECTION ON MAIZE AND COTTON", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 10, page no.f180-f183, October-2024, Available :http://www.jetir.org/papers/JETIR2410515.pdf

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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

"EARLY DISEASES DETECTION ON MAIZE AND COTTON", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 10, page no. ppf180-f183, October-2024, Available at : http://www.jetir.org/papers/JETIR2410515.pdf

Publication Details

Published Paper ID: JETIR2410515
Registration ID: 549926
Published In: Volume 11 | Issue 10 | Year October-2024
DOI (Digital Object Identifier):
Page No: f180-f183
Country: Chh. Sambhajinagar, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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