Aromatic herbs classification by using discriminant analysis techniques

An electronic nose was used to distinguish between selected herb samples according to their family group species. This paper aims to evaluate the potential of using the electronic nose to characterize three groups of families of twelve herb species based on the discriminant analysis approach. The fe...

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Main Authors: Mohamad Radzi, Nur Fadzilah, Che Soh, Azura, Ishak, Asnor Juraiza, Hassan, Mohd Khair, Mohamad Yusof, Umi Kalsom
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2017
Online Access:http://psasir.upm.edu.my/id/eprint/60927/1/Aromatic%20herbs%20classification%20by%20using%20discriminant%20analysis%20techniques.pdf
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author Mohamad Radzi, Nur Fadzilah
Che Soh, Azura
Ishak, Asnor Juraiza
Hassan, Mohd Khair
Mohamad Yusof, Umi Kalsom
author_facet Mohamad Radzi, Nur Fadzilah
Che Soh, Azura
Ishak, Asnor Juraiza
Hassan, Mohd Khair
Mohamad Yusof, Umi Kalsom
author_sort Mohamad Radzi, Nur Fadzilah
collection UPM
description An electronic nose was used to distinguish between selected herb samples according to their family group species. This paper aims to evaluate the potential of using the electronic nose to characterize three groups of families of twelve herb species based on the discriminant analysis approach. The feature extraction involves the use of a signal processing technique that simplifies classification and yields optimal results. Two discriminant techniques: the principal component analysis (PCA) and the multiple discriminant analysis (MDA) were used to investigate the potential to distinguish herb species between several herbs within the same family group. The results showed that the twelve herb species can be better classified using the MDA method compared to the PCA method.
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spelling upm.eprints-609272020-02-03T01:50:00Z http://psasir.upm.edu.my/id/eprint/60927/ Aromatic herbs classification by using discriminant analysis techniques Mohamad Radzi, Nur Fadzilah Che Soh, Azura Ishak, Asnor Juraiza Hassan, Mohd Khair Mohamad Yusof, Umi Kalsom An electronic nose was used to distinguish between selected herb samples according to their family group species. This paper aims to evaluate the potential of using the electronic nose to characterize three groups of families of twelve herb species based on the discriminant analysis approach. The feature extraction involves the use of a signal processing technique that simplifies classification and yields optimal results. Two discriminant techniques: the principal component analysis (PCA) and the multiple discriminant analysis (MDA) were used to investigate the potential to distinguish herb species between several herbs within the same family group. The results showed that the twelve herb species can be better classified using the MDA method compared to the PCA method. Institute of Advanced Engineering and Science 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/60927/1/Aromatic%20herbs%20classification%20by%20using%20discriminant%20analysis%20techniques.pdf Mohamad Radzi, Nur Fadzilah and Che Soh, Azura and Ishak, Asnor Juraiza and Hassan, Mohd Khair and Mohamad Yusof, Umi Kalsom (2017) Aromatic herbs classification by using discriminant analysis techniques. Indonesian Journal of Electrical Engineering and Computer Science, 5 (3). pp. 530-535. ISSN 2502-4752; ESSN: 2502-4760 http://ijeecs.iaescore.com/index.php/IJEECS/article/view/6501 10.11591/ijeecs.v5.i3.pp530-535
spellingShingle Mohamad Radzi, Nur Fadzilah
Che Soh, Azura
Ishak, Asnor Juraiza
Hassan, Mohd Khair
Mohamad Yusof, Umi Kalsom
Aromatic herbs classification by using discriminant analysis techniques
title Aromatic herbs classification by using discriminant analysis techniques
title_full Aromatic herbs classification by using discriminant analysis techniques
title_fullStr Aromatic herbs classification by using discriminant analysis techniques
title_full_unstemmed Aromatic herbs classification by using discriminant analysis techniques
title_short Aromatic herbs classification by using discriminant analysis techniques
title_sort aromatic herbs classification by using discriminant analysis techniques
url http://psasir.upm.edu.my/id/eprint/60927/1/Aromatic%20herbs%20classification%20by%20using%20discriminant%20analysis%20techniques.pdf
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