Rapid and environmentally friendly wine analysis using Vis/NIR Spectroscopy and Support Vector Machine regression.

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.2026-07-07http://hdl.handle.net/123456789/499191The 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.openAccessQualidade do vinhoVis NIRParâmetro de qualidadeVitiviniculturaQuality parametersWineUvaVinhoRapid and environmentally friendly wine analysis using Vis/NIR Spectroscopy and Support Vector Machine regression.Resumo em anais e proceedings