Classification of Green Bristle Grass, Yellow Foxtail and Chinese Pennisetum Seeds via HATR-FT-IR Combined with Chemometrics
Fourier transform infrared (FT-IR) and horizontal attenuated total reflectance (HATR) technique are used to obtain the FT-IR spectra of the seed of green bristle grass (the seed from Setaria viridis (L.) Beauv), yellow foxtail seed (the seed from Setaria glauca (L.) Beauv), and the Chinese pennisetu...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Journal of Spectroscopy |
| Online Access: | http://dx.doi.org/10.1155/2013/531747 |
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| author | Peng Yu Cha-Yan Wan Chang-Shun Wu Jia-Ni Shou Cun-Gui Cheng |
| author_facet | Peng Yu Cha-Yan Wan Chang-Shun Wu Jia-Ni Shou Cun-Gui Cheng |
| author_sort | Peng Yu |
| collection | DOAJ |
| description | Fourier transform infrared (FT-IR) and horizontal attenuated total reflectance (HATR) technique are used to obtain the FT-IR spectra of the seed of green bristle grass (the seed from Setaria viridis (L.) Beauv), yellow foxtail seed (the seed from Setaria glauca (L.) Beauv), and the Chinese pennisetum seed (the seed from Setaria faberii Herrum). In order to extrude the difference among them, cluster analysis is considered to identify the three kinds of plant seeds. Because they belong to the sibling plant seeds, and have similar chemical components and close FT-IR spectra. The result of Cluster analysis is not satisfactory. The discrete wavelet transformation (DWT) and a support vector machine (SVM) were used for further study. The compression detail 3 and 4 in DWT are used to extract the feature vectors, which are used to train SVM. The trained SVM is used to classify seed of green bristle grass, yellow foxtail seed and Chinese pennisetum seed. The seed samples are collected from different places around the country. With 40 testing samples we could effectively identify the sibling plants, seed of green bristle grass, yellow foxtail seed and Chinese pennisetum seed by FT-IR with discrete wavelet feature extraction and SVM classification. |
| format | Article |
| id | doaj-art-5fe69ae40b494cc3904092b89135edc9 |
| institution | Kabale University |
| issn | 2314-4920 2314-4939 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Spectroscopy |
| spelling | doaj-art-5fe69ae40b494cc3904092b89135edc92025-02-03T05:59:42ZengWileyJournal of Spectroscopy2314-49202314-49392013-01-01201310.1155/2013/531747531747Classification of Green Bristle Grass, Yellow Foxtail and Chinese Pennisetum Seeds via HATR-FT-IR Combined with ChemometricsPeng Yu0Cha-Yan Wan1Chang-Shun Wu2Jia-Ni Shou3Cun-Gui Cheng4College of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua 321004, ChinaCollege of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua 321004, ChinaChuyang Honors College, Zhejiang Normal University, Jinhua 321004, ChinaChuyang Honors College, Zhejiang Normal University, Jinhua 321004, ChinaCollege of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua 321004, ChinaFourier transform infrared (FT-IR) and horizontal attenuated total reflectance (HATR) technique are used to obtain the FT-IR spectra of the seed of green bristle grass (the seed from Setaria viridis (L.) Beauv), yellow foxtail seed (the seed from Setaria glauca (L.) Beauv), and the Chinese pennisetum seed (the seed from Setaria faberii Herrum). In order to extrude the difference among them, cluster analysis is considered to identify the three kinds of plant seeds. Because they belong to the sibling plant seeds, and have similar chemical components and close FT-IR spectra. The result of Cluster analysis is not satisfactory. The discrete wavelet transformation (DWT) and a support vector machine (SVM) were used for further study. The compression detail 3 and 4 in DWT are used to extract the feature vectors, which are used to train SVM. The trained SVM is used to classify seed of green bristle grass, yellow foxtail seed and Chinese pennisetum seed. The seed samples are collected from different places around the country. With 40 testing samples we could effectively identify the sibling plants, seed of green bristle grass, yellow foxtail seed and Chinese pennisetum seed by FT-IR with discrete wavelet feature extraction and SVM classification.http://dx.doi.org/10.1155/2013/531747 |
| spellingShingle | Peng Yu Cha-Yan Wan Chang-Shun Wu Jia-Ni Shou Cun-Gui Cheng Classification of Green Bristle Grass, Yellow Foxtail and Chinese Pennisetum Seeds via HATR-FT-IR Combined with Chemometrics Journal of Spectroscopy |
| title | Classification of Green Bristle Grass, Yellow Foxtail and Chinese Pennisetum Seeds via HATR-FT-IR Combined with Chemometrics |
| title_full | Classification of Green Bristle Grass, Yellow Foxtail and Chinese Pennisetum Seeds via HATR-FT-IR Combined with Chemometrics |
| title_fullStr | Classification of Green Bristle Grass, Yellow Foxtail and Chinese Pennisetum Seeds via HATR-FT-IR Combined with Chemometrics |
| title_full_unstemmed | Classification of Green Bristle Grass, Yellow Foxtail and Chinese Pennisetum Seeds via HATR-FT-IR Combined with Chemometrics |
| title_short | Classification of Green Bristle Grass, Yellow Foxtail and Chinese Pennisetum Seeds via HATR-FT-IR Combined with Chemometrics |
| title_sort | classification of green bristle grass yellow foxtail and chinese pennisetum seeds via hatr ft ir combined with chemometrics |
| url | http://dx.doi.org/10.1155/2013/531747 |
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