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Classification of Healthy and Diseased Arecanuts using SVM Classifier

H. Chandrashekhara1 , M. Suresha2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-2 , Page no. 544-548, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i2.544548

Online published on Feb 28, 2019

Copyright © H. Chandrashekhara, M. Suresha . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: H. Chandrashekhara, M. Suresha, “Classification of Healthy and Diseased Arecanuts using SVM Classifier,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.544-548, 2019.

MLA Style Citation: H. Chandrashekhara, M. Suresha "Classification of Healthy and Diseased Arecanuts using SVM Classifier." International Journal of Computer Sciences and Engineering 7.2 (2019): 544-548.

APA Style Citation: H. Chandrashekhara, M. Suresha, (2019). Classification of Healthy and Diseased Arecanuts using SVM Classifier. International Journal of Computer Sciences and Engineering, 7(2), 544-548.

BibTex Style Citation:
@article{Chandrashekhara_2019,
author = {H. Chandrashekhara, M. Suresha},
title = {Classification of Healthy and Diseased Arecanuts using SVM Classifier},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {544-548},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3702},
doi = {https://doi.org/10.26438/ijcse/v7i2.544548}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.544548}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3702
TI - Classification of Healthy and Diseased Arecanuts using SVM Classifier
T2 - International Journal of Computer Sciences and Engineering
AU - H. Chandrashekhara, M. Suresha
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 544-548
IS - 2
VL - 7
SN - 2347-2693
ER -

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Abstract

Arecanut is the seed of the areca palm (Areca catechu), Arecanut palm is one of the important commercial crops in India. Majority of arecanut are produced and consumed by Indian populations when compared to other countries. This paper proposes, to Classify Healthy and Diseased Arecanut images. In this paper Healthy and diseased arecanut are have been done. Structured matrix decomposition model (SMD) is used to segment the images and LBP features are extracted using SVM classifier. Experimental results demonstrate proposed method perform well and obtained accuracy of 98%.

Key-Words / Index Term

Arecanut Images, SMD, SVM Classifier

References

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