International Journal of Science , Engineering and Management (IJSEM)

Monthly Journal for Science , Engineering and Management

Volume3,February 2018,

Topic : Extension of SVM for Multi-Class Classification

Authors:Rupali A. Mangrule || Dr. R. A. Khan

Abstract:The support vector machine (SVM) is a well-known algorithm for binary classification problems. SVM was originally developed to classify only two classes. In the real world, most of the applications involve multiclass classification e.g. plant disease detection, face detection, plant classification etc. Binary SVM can be extended in different ways for multi-class classification problems. This paper provides a survey of different multi-class approaches like One vs. one, one vs. rest, Directed Acyclic Graph(DAG) and Error Corrected Output Coding(ECOC). The paper also presents how Multi SVM is effectively used to early detect and classify the plant diseases based on plant leaf symptoms. The early detection of plant disease ultimately effects on crop production which is the major factor of the Indian economy.

Keywords: Support Vector Machine, Plant Disease Detection, Image Processing, Classification.

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DOI: 01.1617/vol5/iss2/pid61492


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Editor-in-Chief

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Dr.Muhammad Ishtiaq,
Mirpur University of
Science & Technology,
Mirpur, Azad Kasmir.

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IMPACT FACTOR: 2.7

ISSN(Online): 2456-1304

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO

ACCEPTANCE RATIO: 25%
ARTICLES PUBLISHED:00007
PAPER RECEIVED:000028
Journal Code : IJSEM
Electronic ISSN : 2456-1304
Impact Factor : 2.7
Frequency : Monthly
Contact : editor@ijsem.org

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