Evaluation of PCA in herbs identification
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 arr...
| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Faculty of Computer Science and Information Technology, Universiti Putra Malaysia
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/77134/ http://psasir.upm.edu.my/id/eprint/77134/1/saes2015-7.pdf |
| _version_ | 1848858164343078912 |
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| author | Mohamad Radzi, Nur Fadzilah Che Soh, Azura Mohamad Yusof, Umi Kalsom Ishak, Asnor Juraiza Hassan, Mohd Khair Ahmad, Siti Anom Khamis, Shamsul |
| author_facet | Mohamad Radzi, Nur Fadzilah Che Soh, Azura Mohamad Yusof, Umi Kalsom Ishak, Asnor Juraiza Hassan, Mohd Khair Ahmad, Siti Anom Khamis, Shamsul |
| author_sort | Mohamad Radzi, Nur Fadzilah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T12:09:05Z |
| format | Conference or Workshop Item |
| id | upm-77134 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:09:05Z |
| publishDate | 2015 |
| publisher | Faculty of Computer Science and Information Technology, Universiti Putra Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-771342020-03-03T10:44:01Z http://psasir.upm.edu.my/id/eprint/77134/ Evaluation of PCA in herbs identification Mohamad Radzi, Nur Fadzilah Che Soh, Azura Mohamad Yusof, Umi Kalsom Ishak, Asnor Juraiza Hassan, Mohd Khair Ahmad, Siti Anom Khamis, Shamsul 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. Faculty of Computer Science and Information Technology, Universiti Putra Malaysia 2015 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/77134/1/saes2015-7.pdf 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). |
| spellingShingle | Mohamad Radzi, Nur Fadzilah Che Soh, Azura Mohamad Yusof, Umi Kalsom Ishak, Asnor Juraiza Hassan, Mohd Khair Ahmad, Siti Anom Khamis, Shamsul Evaluation of PCA in herbs identification |
| title | Evaluation of PCA in herbs identification |
| title_full | Evaluation of PCA in herbs identification |
| title_fullStr | Evaluation of PCA in herbs identification |
| title_full_unstemmed | Evaluation of PCA in herbs identification |
| title_short | Evaluation of PCA in herbs identification |
| title_sort | evaluation of pca in herbs identification |
| url | http://psasir.upm.edu.my/id/eprint/77134/ http://psasir.upm.edu.my/id/eprint/77134/1/saes2015-7.pdf |