Finding the most important sensory descriptors to differentiate some Vitis vinifera L. South American wines using support vector machines (2019)
- Authors:
- Autor USP: ERGER, INAR CASTRO - FCF
- Unidade: FCF
- DOI: 10.1007/s00217-019-03245-9
- Subjects: VINHO; ANÁLISE SENSORIAL DE ALIMENTOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: European Food Research and Technology
- ISSN: 1438-2377
- Volume/Número/Paginação/Ano: v. 245, p. 1207-1228, 2019
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
COSTA, Nattane Luíza et al. Finding the most important sensory descriptors to differentiate some Vitis vinifera L. South American wines using support vector machines. European Food Research and Technology, v. 245, p. 1207-1228, 2019Tradução . . Disponível em: https://doi.org/10.1007/s00217-019-03245-9. Acesso em: 26 fev. 2026. -
APA
Costa, N. L., Llobodanin, L. A. G., Castro, I. A. de, & Barbosa, R. (2019). Finding the most important sensory descriptors to differentiate some Vitis vinifera L. South American wines using support vector machines. European Food Research and Technology, 245, 1207-1228. doi:10.1007/s00217-019-03245-9 -
NLM
Costa NL, Llobodanin LAG, Castro IA de, Barbosa R. Finding the most important sensory descriptors to differentiate some Vitis vinifera L. South American wines using support vector machines [Internet]. European Food Research and Technology. 2019 ; 245 1207-1228.[citado 2026 fev. 26 ] Available from: https://doi.org/10.1007/s00217-019-03245-9 -
Vancouver
Costa NL, Llobodanin LAG, Castro IA de, Barbosa R. Finding the most important sensory descriptors to differentiate some Vitis vinifera L. South American wines using support vector machines [Internet]. European Food Research and Technology. 2019 ; 245 1207-1228.[citado 2026 fev. 26 ] Available from: https://doi.org/10.1007/s00217-019-03245-9 - Oxidation stability of brown and yellow flaxseed oils available at the market
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Informações sobre o DOI: 10.1007/s00217-019-03245-9 (Fonte: oaDOI API)
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