UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1905L68


Registration ID:
212924

Page Number

469-472

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Title

Applying Automatic Image Segmentation for Detection of Crop Diseases

Abstract

Abstract Agricultural productivity is something on which economy highly depends. If appropriate concern of various plants disease is not taken then the severe effects on respective product, its quality and the overall productivity is measured. Distinguishing evidence of the plant disease is the way to counteracting the misfortunes in the field of agriculture. Monitoring of farms of crops by automatic technique may lead to detection of plant disease at very early stage. In Present paper an automatic image segmentation techniques has been applied on plant leaf dataset to discover the plant disease at early stage.

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"Applying Automatic Image Segmentation for Detection of Crop Diseases", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.469-472, May-2019, Available :http://www.jetir.org/papers/JETIR1905L68.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

"Applying Automatic Image Segmentation for Detection of Crop Diseases", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp469-472, May-2019, Available at : http://www.jetir.org/papers/JETIR1905L68.pdf

Publication Details

Published Paper ID: JETIR1905L68
Registration ID: 212924
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 469-472
Country: Lucknow, Uttar Pradesh, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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