UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 8
August-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1808870


Registration ID:
187395

Page Number

779-788

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Title

WHEAT DISEASE DETECTION USING SVM CLASSIFIER

Abstract

There are many types of diseases which are present in plants. To detect these diseases pattern are required to recognize them . There are many types of pattern recognition algorithm which gives detection of disease with accuracy. Image processing Techniques for Wheat Disease Detection most important research areas in computer science for last few decades. Based on literature review ,We conclude that the engineering and research community is doing lot of work on Wheat disease detection, but the application of this techniques to solve practical agricultural This paper presents a survey on SVM Classifier method that use digital image processing techniques to detect, quantify and classify plant diseases from digital images in the visible spectrum.

Key Words

PCA, B.P,SVD ,2-D,3-Dimages

Cite This Article

"WHEAT DISEASE DETECTION USING SVM CLASSIFIER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.779-788, August-2018, Available :http://www.jetir.org/papers/JETIR1808870.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

"WHEAT DISEASE DETECTION USING SVM CLASSIFIER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp779-788, August-2018, Available at : http://www.jetir.org/papers/JETIR1808870.pdf

Publication Details

Published Paper ID: JETIR1808870
Registration ID: 187395
Published In: Volume 5 | Issue 8 | Year August-2018
DOI (Digital Object Identifier):
Page No: 779-788
Country: --, --, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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