Spectral features selection and classification of oil palm leaves infected by Basal stem rot (BSR) disease using dielectric spectroscopy

Spectral features selection and classification of oil palm leaves infected by Basal stem rot... •Electrical properties were investigated in early detection of BSR disease in oil palms.•SVM-FS selection model indicates the best statistical indicators.•SVM classifier shows better performance as compared to ANN classifier.•The impedance values were highly classified by Ganoderma disease.•Electrical properties have significant potential for detection of BSR diseases in oil palm. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Computers and Electronics in Agriculture Elsevier

Spectral features selection and classification of oil palm leaves infected by Basal stem rot (BSR) disease using dielectric spectroscopy

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier B.V.
ISSN
0168-1699
eISSN
1872-7107
D.O.I.
10.1016/j.compag.2017.11.012
Publisher site
See Article on Publisher Site

Abstract

•Electrical properties were investigated in early detection of BSR disease in oil palms.•SVM-FS selection model indicates the best statistical indicators.•SVM classifier shows better performance as compared to ANN classifier.•The impedance values were highly classified by Ganoderma disease.•Electrical properties have significant potential for detection of BSR diseases in oil palm.

Journal

Computers and Electronics in AgricultureElsevier

Published: Jan 1, 2018

References

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