Classification of Agarwood Oil Using an Electronic Nose
Presently, the quality assurance of agarwood oil is performed by sensory panels which has significant drawbacks in terms of objectivity and repeatability. In this paper, it is shown how an electronic nose (e-nose) may be successfully utilised for the classification of agarwood oil. Hierarchical Clus...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2010-05-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/10/5/4675/ |
| _version_ | 1811184886417981440 |
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| author | Wahyu Hidayat Ali Yeon Md. Shakaff Mohd Noor Ahmad Abdul Hamid Adom |
| author_facet | Wahyu Hidayat Ali Yeon Md. Shakaff Mohd Noor Ahmad Abdul Hamid Adom |
| author_sort | Wahyu Hidayat |
| collection | DOAJ |
| description | Presently, the quality assurance of agarwood oil is performed by sensory panels which has significant drawbacks in terms of objectivity and repeatability. In this paper, it is shown how an electronic nose (e-nose) may be successfully utilised for the classification of agarwood oil. Hierarchical Cluster Analysis (HCA) and Principal Component Analysis (PCA), were used to classify different types of oil. The HCA produced a dendrogram showing the separation of e-nose data into three different groups of oils. The PCA scatter plot revealed a distinct separation between the three groups. An Artificial Neural Network (ANN) was used for a better prediction of unknown samples. |
| first_indexed | 2024-04-11T13:21:03Z |
| format | Article |
| id | doaj.art-1f2bf36eb05c4cef93091cfdc520bce7 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:21:03Z |
| publishDate | 2010-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-1f2bf36eb05c4cef93091cfdc520bce72022-12-22T04:22:12ZengMDPI AGSensors1424-82202010-05-011054675468510.3390/s100504675Classification of Agarwood Oil Using an Electronic NoseWahyu HidayatAli Yeon Md. ShakaffMohd Noor AhmadAbdul Hamid AdomPresently, the quality assurance of agarwood oil is performed by sensory panels which has significant drawbacks in terms of objectivity and repeatability. In this paper, it is shown how an electronic nose (e-nose) may be successfully utilised for the classification of agarwood oil. Hierarchical Cluster Analysis (HCA) and Principal Component Analysis (PCA), were used to classify different types of oil. The HCA produced a dendrogram showing the separation of e-nose data into three different groups of oils. The PCA scatter plot revealed a distinct separation between the three groups. An Artificial Neural Network (ANN) was used for a better prediction of unknown samples.http://www.mdpi.com/1424-8220/10/5/4675/agarwood oile-noseHCAPCAANNdimensionality reduction |
| spellingShingle | Wahyu Hidayat Ali Yeon Md. Shakaff Mohd Noor Ahmad Abdul Hamid Adom Classification of Agarwood Oil Using an Electronic Nose Sensors agarwood oil e-nose HCA PCA ANN dimensionality reduction |
| title | Classification of Agarwood Oil Using an Electronic Nose |
| title_full | Classification of Agarwood Oil Using an Electronic Nose |
| title_fullStr | Classification of Agarwood Oil Using an Electronic Nose |
| title_full_unstemmed | Classification of Agarwood Oil Using an Electronic Nose |
| title_short | Classification of Agarwood Oil Using an Electronic Nose |
| title_sort | classification of agarwood oil using an electronic nose |
| topic | agarwood oil e-nose HCA PCA ANN dimensionality reduction |
| url | http://www.mdpi.com/1424-8220/10/5/4675/ |
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