UPM Institutional Repository

Aromatic herbs classification by using discriminant analysis techniques


Citation

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

Abstract

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.


Download File

[img]
Preview
 Text (Abstract)
Aromatic herbs classification by using discriminant analysis techniques.pdf
Download (5kB) | Preview

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.11591/ijeecs.v5.i3.pp530-535
Publisher: Institute of Advanced Engineering and Science
Keywords: Principal component analysis; Multiple discriminant analysis; Feature extraction
Depositing User: Ms. Nida Hidayati Ghazali
Date Deposited: 21 Mar 2019 08:49
Last Modified: 03 Feb 2020 01:50
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.11591/ijeecs.v5.i3.pp530-535
URI: http://psasir.upm.edu.my/id/eprint/60927
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item