CARLOS MONTEIRO DE LIMA, Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte - IFRN; LICARION NETO, UFPB; GIULIANO ELIAS PEREIRA, CNPUV - CPATSA; ADRIANO ARAÚJO GOMES, Universidade Federal do Sul e Sudoeste do Pará - UNIFESSPA; MÁRIO CÉSAR UGULINO DE ARAÚJO, UFPB.2026-07-07http://hdl.handle.net/123456789/499760The results, although preliminary, suggest that the NIR data carry the information able to properly discriminate the wines produced in the VSF from those wine of other regions. The classification model built using variables selection (GA-LDA) achieved good results, we understand that there is a strong asymmetry between classes, due to the small number of samples from other regions1 Pen drive.openAccessVale de São FranciscoRastreabilidade geográfica de vinhosVitiviniculturaUvaVinhoVitis ViniferaGrapesResumo em anais e proceedings