Citation
Mohamad Radzi, Nur Fadzilah and Che Soh, Azura and Mohamad Yusof, Umi Kalsom and Ishak, Asnor Juraiza and Hassan, Mohd Khair and Ahmad, Siti Anom and Khamis, Shamsul
(2015)
Evaluation of PCA in herbs identification.
In: 3rd International Symposium on Applied Engineering and Sciences (SAES2015), 23-24 Nov. 2015, Universiti Putra Malaysia. (pp. 15-18).
Abstract
Many of the existing herbs species on the earth are still unknown. Each herb species has unique odor which differs from each other. This odor parameter is used to differentiate the type of herbs species by using gas sensor array. The response of electrical signal is generated when the gas sensor array detect the odor of herb species. This paper presents a pattern analysis of electrical signal data by using principle component analysis method. 4 different herb species with same group family (Family Lauraceae) were investigated. The result shows the discrimination between herb species is possible.
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Additional Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculty of Engineering Institute of Bioscience |
| Publisher: | Faculty of Computer Science and Information Technology, Universiti Putra Malaysia |
| Keywords: | Herbs identification; Odor; PCA |
| Depositing User: | Nabilah Mustapa |
| Date Deposited: | 03 Mar 2020 10:44 |
| Last Modified: | 03 Mar 2020 10:44 |
| URI: | http://psasir.upm.edu.my/id/eprint/77134 |
| Statistic Details: | View Download Statistic |
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