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

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 6 | June 2025

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Published in:

Volume 5 Issue 6
June-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1806177


Registration ID:
183062

Page Number

386-391

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Title

Image Processing Based Disease Detection for Sugarcane Leaves

Abstract

Images are ways of recording and presenting information in visual form and, in the broadest sense, an image corresponds to any kind of two-dimensional data. The naturally occurring form of image is not suitable for processing with computers as computers cannot operate directly on pictorial data but require numerical data. Therefore, images need to be converted into numerical data referred to as digital image, to enable computer. The interdisciplinary research linking image processing with agriculture-oriented application for detecting a leaf disease in sugar cane plant. Plant diseases are of critical importance to humans because they damage plants and reduce plant production on which human relay for fundamental food supply. This research paper suggested a novel algorithm which can cope with the variations and complexities for robust and continuous disease detection. In this chapter, we introduce this research from both aspects of agricultural needs and image-based techniques.Image processing techniques has been proved to be changing the scenario of agriculture in India with a number of research and applications like automatic disease detection, drone based pesticides and fertilizer dispensing, estimation of yield, vegetative growth, fruit sorting etc. This interdisciplinary research linking image processing with agriculture-oriented application for detecting a leaf disease in sugar cane plant. Plant diseases are of critical importance to humans because they damage plants and reduce plant production on which human relay for fundamental food supply.

Key Words

Sugarcane, leaf disease detection, image processing, computer vision, segmentation.

Cite This Article

"Image Processing Based Disease Detection for Sugarcane Leaves", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.386-391, June-2018, Available :http://www.jetir.org/papers/JETIR1806177.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

"Image Processing Based Disease Detection for Sugarcane Leaves", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp386-391, June-2018, Available at : http://www.jetir.org/papers/JETIR1806177.pdf

Publication Details

Published Paper ID: JETIR1806177
Registration ID: 183062
Published In: Volume 5 | Issue 6 | Year June-2018
DOI (Digital Object Identifier):
Page No: 386-391
Country: Lucknow, Uttar Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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