Rapid and environmentally friendly wine analysis using Vis/NIR Spectroscopy and Support Vector Machine regression.
The aim of this study was to calibrate and validate models that can be used to determine quality parameters in red wine using Vis/NIR spectroscopy and the Least Squares Support Vector Machine (LS-SVM) regression.
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Auteurs principaux: | , , , , , , |
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Autres auteurs: | |
Format: | Parte de livro biblioteca |
Langue: | English eng |
Publié: |
2016-02-15
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Sujets: | Qualidade do vinho, Vis NIR, Parâmetro de qualidade, Vitivinicultura, Quality parameters, Wine., Uva, Vinho, |
Accès en ligne: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1036899 |
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