Title:	Rapid and environmentally friendly wine analysis using Vis/NIR Spectroscopy and Support Vector Machine regression.
Authors:	MARQUES, E. J. N. BIASOTO, A. C. T. FREITAS, S. T. de MENEZES, T. R. de PEREIRA, G. E. NASSUR, R. de C. M. R. MEDEIROS, E. P. de
Affiliation:	EMANUEL JOSÉ NASCIMENTO MARQUES, UFPE; ALINE TELLES BIASOTO MARQUES, CPATSA; SERGIO TONETTO DE FREITAS, CPATSA; THIAGO REIS DE MENEZES; GIULIANO ELIAS PEREIRA, CNPUV / CPATSA; RITA DE CÁSSIA MIRELA RESENDE NASSUR; EVERALDO PAULO DE MEDEIROS, CNPA.
Date Issued:	2015
Citation:	In: INTERNATIONAL CONFERENCE ON NEAR INFRARED SPECTROSCOPY, 17., 2015, Foz do Iguassu. Book of abstracts. [S.l]: International Council for Near Infrared Spectroscopy, 2015.
Description:	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.
Thesagro:	Uva Vinho
Keywords:	Qualidade do vinho Vis NIR Parâmetro de qualidade Vitivinicultura Wine Quality parameters
Type of Material:	Resumo em anais e proceedings
Access:	openAccess
Appears in Collections:	Resumo em anais de congresso (CNPUV)