Rapid and environmentally friendly wine analysis using Vis/NIR Spectroscopy and Support Vector Machine regression.
Rapid and environmentally friendly wine analysis using Vis/NIR Spectroscopy and Support Vector Machine regression.
Summary: 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.
Publication year: 2015
Types of publication: Abstract in annals or event proceedings
Unit: Embrapa Semi-arid Region
Observation
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