Development of electronic nose for classification of medicinal aromatic herbs using artificial intelligent techniques
Herbs is useful in various applications especially in nutraceutical products and botanical medicine. In normal practice, the herbs identification is done mainly by botanists. However, it is difficult for botanist to recognize herbs based on aroma measurement for the species under the same family whi...
| 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/77125/ http://psasir.upm.edu.my/id/eprint/77125/1/saes2015-2.pdf |
| _version_ | 1848858161800282112 |
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| author | Mohamad Yusof, Umi Kalsom Che Soh, Azura Ishak, Asnor Juraiza Hassan, Mohd Khair Khamis, Shamsul |
| author_facet | Mohamad Yusof, Umi Kalsom Che Soh, Azura Ishak, Asnor Juraiza Hassan, Mohd Khair Khamis, Shamsul |
| author_sort | Mohamad Yusof, Umi Kalsom |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Herbs is useful in various applications especially in nutraceutical products and botanical medicine. In normal practice, the herbs identification is done mainly by botanists. However, it is difficult for botanist to recognize herbs based on aroma measurement for the species under the same family which is the physical appearance may look almost the same characteristic and also may be having the almost same aromas. Electronic nose instruments, derived from numerous types of aroma sensor technologies have been developed for a diverse of applications in a broad field of agriculture including for herbs. The emphasizes on the ability of an electronic nose in this project was to distinctify odor pattern of the herbs leaves from twelve species among lauraceae, myrtaceae and zingiberaceae family. The output captured by electronic nose gas sensors was classified by using Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS). From the result, ANFIS gives as higher as 94.8% percentage of accuracy to classify the herbs compare than ANN for 91.7% of accuracy. |
| first_indexed | 2025-11-15T12:09:03Z |
| format | Conference or Workshop Item |
| id | upm-77125 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:09:03Z |
| publishDate | 2015 |
| publisher | Faculty of Computer Science and Information Technology, Universiti Putra Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-771252020-03-03T10:43:36Z http://psasir.upm.edu.my/id/eprint/77125/ Development of electronic nose for classification of medicinal aromatic herbs using artificial intelligent techniques Mohamad Yusof, Umi Kalsom Che Soh, Azura Ishak, Asnor Juraiza Hassan, Mohd Khair Khamis, Shamsul Herbs is useful in various applications especially in nutraceutical products and botanical medicine. In normal practice, the herbs identification is done mainly by botanists. However, it is difficult for botanist to recognize herbs based on aroma measurement for the species under the same family which is the physical appearance may look almost the same characteristic and also may be having the almost same aromas. Electronic nose instruments, derived from numerous types of aroma sensor technologies have been developed for a diverse of applications in a broad field of agriculture including for herbs. The emphasizes on the ability of an electronic nose in this project was to distinctify odor pattern of the herbs leaves from twelve species among lauraceae, myrtaceae and zingiberaceae family. The output captured by electronic nose gas sensors was classified by using Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS). From the result, ANFIS gives as higher as 94.8% percentage of accuracy to classify the herbs compare than ANN for 91.7% of accuracy. 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/77125/1/saes2015-2.pdf Mohamad Yusof, Umi Kalsom and Che Soh, Azura and Ishak, Asnor Juraiza and Hassan, Mohd Khair and Khamis, Shamsul (2015) Development of electronic nose for classification of medicinal aromatic herbs using artificial intelligent techniques. In: 3rd International Symposium on Applied Engineering and Sciences (SAES2015), 23-24 Nov. 2015, Universiti Putra Malaysia. (pp. 3-4). |
| spellingShingle | Mohamad Yusof, Umi Kalsom Che Soh, Azura Ishak, Asnor Juraiza Hassan, Mohd Khair Khamis, Shamsul Development of electronic nose for classification of medicinal aromatic herbs using artificial intelligent techniques |
| title | Development of electronic nose for classification of medicinal aromatic herbs using artificial intelligent techniques |
| title_full | Development of electronic nose for classification of medicinal aromatic herbs using artificial intelligent techniques |
| title_fullStr | Development of electronic nose for classification of medicinal aromatic herbs using artificial intelligent techniques |
| title_full_unstemmed | Development of electronic nose for classification of medicinal aromatic herbs using artificial intelligent techniques |
| title_short | Development of electronic nose for classification of medicinal aromatic herbs using artificial intelligent techniques |
| title_sort | development of electronic nose for classification of medicinal aromatic herbs using artificial intelligent techniques |
| url | http://psasir.upm.edu.my/id/eprint/77125/ http://psasir.upm.edu.my/id/eprint/77125/1/saes2015-2.pdf |