Mid-Infrared Spectroscopy for Coffee Variety Identification: Comparison of Pattern Recognition Methods
The potential of using mid-infrared transmittance spectroscopy combined with pattern recognition algorithm to identify coffee variety was investigated. Four coffee varieties in China were studied, including Typica Arabica coffee from Yunnan Province, Catimor Arabica coffee from Yunnan Province, Fush...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Journal of Spectroscopy |
| Online Access: | http://dx.doi.org/10.1155/2016/7927286 |
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| _version_ | 1850170000836395008 |
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| author | Chu Zhang Chang Wang Fei Liu Yong He |
| author_facet | Chu Zhang Chang Wang Fei Liu Yong He |
| author_sort | Chu Zhang |
| collection | DOAJ |
| description | The potential of using mid-infrared transmittance spectroscopy combined with pattern recognition algorithm to identify coffee variety was investigated. Four coffee varieties in China were studied, including Typica Arabica coffee from Yunnan Province, Catimor Arabica coffee from Yunnan Province, Fushan Robusta coffee from Hainan Province, and Xinglong Robusta coffee from Hainan Province. Ten different pattern recognition methods were applied on the optimal wavenumbers selected by principal component analysis loadings. These methods were classified as highly effective methods (soft independent modelling of class analogy, support vector machine, back propagation neural network, radial basis function neural network, extreme learning machine, and relevance vector machine), methods of medium effectiveness (partial least squares-discrimination analysis, K nearest neighbors, and random forest), and methods of low effectiveness (Naive Bayes classifier) according to the classification accuracy for coffee variety identification. |
| format | Article |
| id | doaj-art-ad6fb917e95a4f42811c7e1a438e47ff |
| institution | OA Journals |
| issn | 2314-4920 2314-4939 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Spectroscopy |
| spelling | doaj-art-ad6fb917e95a4f42811c7e1a438e47ff2025-08-20T02:20:34ZengWileyJournal of Spectroscopy2314-49202314-49392016-01-01201610.1155/2016/79272867927286Mid-Infrared Spectroscopy for Coffee Variety Identification: Comparison of Pattern Recognition MethodsChu Zhang0Chang Wang1Fei Liu2Yong He3College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310038, ChinaCollege of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310038, ChinaCollege of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310038, ChinaCollege of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310038, ChinaThe potential of using mid-infrared transmittance spectroscopy combined with pattern recognition algorithm to identify coffee variety was investigated. Four coffee varieties in China were studied, including Typica Arabica coffee from Yunnan Province, Catimor Arabica coffee from Yunnan Province, Fushan Robusta coffee from Hainan Province, and Xinglong Robusta coffee from Hainan Province. Ten different pattern recognition methods were applied on the optimal wavenumbers selected by principal component analysis loadings. These methods were classified as highly effective methods (soft independent modelling of class analogy, support vector machine, back propagation neural network, radial basis function neural network, extreme learning machine, and relevance vector machine), methods of medium effectiveness (partial least squares-discrimination analysis, K nearest neighbors, and random forest), and methods of low effectiveness (Naive Bayes classifier) according to the classification accuracy for coffee variety identification.http://dx.doi.org/10.1155/2016/7927286 |
| spellingShingle | Chu Zhang Chang Wang Fei Liu Yong He Mid-Infrared Spectroscopy for Coffee Variety Identification: Comparison of Pattern Recognition Methods Journal of Spectroscopy |
| title | Mid-Infrared Spectroscopy for Coffee Variety Identification: Comparison of Pattern Recognition Methods |
| title_full | Mid-Infrared Spectroscopy for Coffee Variety Identification: Comparison of Pattern Recognition Methods |
| title_fullStr | Mid-Infrared Spectroscopy for Coffee Variety Identification: Comparison of Pattern Recognition Methods |
| title_full_unstemmed | Mid-Infrared Spectroscopy for Coffee Variety Identification: Comparison of Pattern Recognition Methods |
| title_short | Mid-Infrared Spectroscopy for Coffee Variety Identification: Comparison of Pattern Recognition Methods |
| title_sort | mid infrared spectroscopy for coffee variety identification comparison of pattern recognition methods |
| url | http://dx.doi.org/10.1155/2016/7927286 |
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