Citation
Mohamad Radzi, Nur Fadzilah and Che Soh, Azura and Mohamad Yusof, Umi Kalsom and Hassan, Mohd Khair and Khamis, Shamsul
(2015)
Pattern analysis using principle component analysis (PCA) method for herbs identification.
In: 3rd International Symposium on Applied Engineering and Sciences (SAES2015), 23-24 Nov. 2015, Universiti Putra Malaysia. .
Abstract
Herb is one of the plant species that each has unique odors. Each herb species has unique odor which differs from each other. This odor parameter is used to differentiate the type of herbs species based on response signals from E-Nose system. 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 (PCA) method. The different herb species with same group family were investigated. The result shows the discrimination between herb species is possible using the proposed method.
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Additional Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculty of Design and Architecture Faculty of Engineering |
| Publisher: | Faculty of Computer Science and Information Technology, Universiti Putra Malaysia |
| Keywords: | Pattern analysis; Herbs identification; Odor |
| Depositing User: | Nabilah Mustapa |
| Date Deposited: | 02 Nov 2018 01:11 |
| Last Modified: | 31 Jan 2020 03:58 |
| URI: | http://psasir.upm.edu.my/id/eprint/65628 |
| Statistic Details: | View Download Statistic |
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