E-nose herbs recognition system based on artificial neural network technique
Electronic sensing technology intervention was intended to overcome human's physical limitation. It has developed and greatly advanced over the decade. This project emphasizes on characterizing herbs species based on unique of herbs odor. E-nose system in this project consist an array of commer...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/68190/ http://psasir.upm.edu.my/id/eprint/68190/1/E-nose%20herbs%20recognition%20system%20based%20on%20artificial%20neural%20network%20technique.pdf |
| _version_ | 1848856057124749312 |
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| author | Chow, Kar Kit Che Soh, Azura Mohamad Yusof, Umi Kalsom Ishak, Asnor Juraiza Hassan, Mohd Khair Khamis, Shamsul |
| author_facet | Chow, Kar Kit Che Soh, Azura Mohamad Yusof, Umi Kalsom Ishak, Asnor Juraiza Hassan, Mohd Khair Khamis, Shamsul |
| author_sort | Chow, Kar Kit |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Electronic sensing technology intervention was intended to overcome human's physical limitation. It has developed and greatly advanced over the decade. This project emphasizes on characterizing herbs species based on unique of herbs odor. E-nose system in this project consist an array of commercial gas sensor which detects gas through an increase in electrical conductivity when reducing gases are absorbed on the sensor's surface. Data obtained from sensors array are classified using Artificial Neural Network (ANN) technique. The E-nose system with five sensors has the highest capability in classifying herbs sample. Accuracy in classifying the correct herbs increases with number of the sensors used. Results show that sensitivity of E-nose towards herbs classification increases with higher number of sensors. |
| first_indexed | 2025-11-15T11:35:36Z |
| format | Conference or Workshop Item |
| id | upm-68190 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:35:36Z |
| publishDate | 2013 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-681902019-05-09T03:38:10Z http://psasir.upm.edu.my/id/eprint/68190/ E-nose herbs recognition system based on artificial neural network technique Chow, Kar Kit Che Soh, Azura Mohamad Yusof, Umi Kalsom Ishak, Asnor Juraiza Hassan, Mohd Khair Khamis, Shamsul Electronic sensing technology intervention was intended to overcome human's physical limitation. It has developed and greatly advanced over the decade. This project emphasizes on characterizing herbs species based on unique of herbs odor. E-nose system in this project consist an array of commercial gas sensor which detects gas through an increase in electrical conductivity when reducing gases are absorbed on the sensor's surface. Data obtained from sensors array are classified using Artificial Neural Network (ANN) technique. The E-nose system with five sensors has the highest capability in classifying herbs sample. Accuracy in classifying the correct herbs increases with number of the sensors used. Results show that sensitivity of E-nose towards herbs classification increases with higher number of sensors. IEEE 2013 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68190/1/E-nose%20herbs%20recognition%20system%20based%20on%20artificial%20neural%20network%20technique.pdf Chow, Kar Kit and Che Soh, Azura and Mohamad Yusof, Umi Kalsom and Ishak, Asnor Juraiza and Hassan, Mohd Khair and Khamis, Shamsul (2013) E-nose herbs recognition system based on artificial neural network technique. In: 2013 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2013), 29 Nov.-1 Dec. 2013, Penang, Malaysia. (pp. 58-62). 10.1109/ICCSCE.2013.6719932 |
| spellingShingle | Chow, Kar Kit Che Soh, Azura Mohamad Yusof, Umi Kalsom Ishak, Asnor Juraiza Hassan, Mohd Khair Khamis, Shamsul E-nose herbs recognition system based on artificial neural network technique |
| title | E-nose herbs recognition system based on artificial neural network technique |
| title_full | E-nose herbs recognition system based on artificial neural network technique |
| title_fullStr | E-nose herbs recognition system based on artificial neural network technique |
| title_full_unstemmed | E-nose herbs recognition system based on artificial neural network technique |
| title_short | E-nose herbs recognition system based on artificial neural network technique |
| title_sort | e-nose herbs recognition system based on artificial neural network technique |
| url | http://psasir.upm.edu.my/id/eprint/68190/ http://psasir.upm.edu.my/id/eprint/68190/ http://psasir.upm.edu.my/id/eprint/68190/1/E-nose%20herbs%20recognition%20system%20based%20on%20artificial%20neural%20network%20technique.pdf |