Source: European Food Research and Technology. Unidade: FCFRP
Subjects: VINHO, APRENDIZADO COMPUTACIONAL, ESPECTROMETRIA DE MASSAS
ABNT
COSTA, Nattane Luíza da et al. Characterization of Cabernet Sauvignon wines from California: determination of origin based on ICP-MS analysis and machine learning techniques. European Food Research and Technology, v. 246, n. 6, p. 1193-1205, 2020Tradução . . Disponível em: https://doi.org/10.1007/s00217-020-03480-5. Acesso em: 16 ago. 2024.APA
Costa, N. L. da, Ximenez, J. P. B., Rodrigues, J. L., Barbosa Junior, F., & Barbosa, R. (2020). Characterization of Cabernet Sauvignon wines from California: determination of origin based on ICP-MS analysis and machine learning techniques. European Food Research and Technology, 246( 6), 1193-1205. doi:10.1007/s00217-020-03480-5NLM
Costa NL da, Ximenez JPB, Rodrigues JL, Barbosa Junior F, Barbosa R. Characterization of Cabernet Sauvignon wines from California: determination of origin based on ICP-MS analysis and machine learning techniques [Internet]. European Food Research and Technology. 2020 ; 246( 6): 1193-1205.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/s00217-020-03480-5Vancouver
Costa NL da, Ximenez JPB, Rodrigues JL, Barbosa Junior F, Barbosa R. Characterization of Cabernet Sauvignon wines from California: determination of origin based on ICP-MS analysis and machine learning techniques [Internet]. European Food Research and Technology. 2020 ; 246( 6): 1193-1205.[citado 2024 ago. 16 ] Available from: https://doi.org/10.1007/s00217-020-03480-5