Silvello, Giovanni Casagrande 
; Bortoletto, Aline Marques ; Castro, Mariana Costa de; Alcarde, André Ricardo
Fonte: LWT - Food Science and Technology. Unidade: ESALQ
Assuntos: APRENDIZADO COMPUTACIONAL, BARRIS DE MADEIRA, BEBIDAS DESTILADAS, CACHAÇA, CANA-DE-AÇÚCAR, ENVELHECIMENTO, MATURAÇÃO
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SILVELLO, Giovanni Casagrande et al. New approach for barrel-aged distillates classification based on maturation level and machine learning: a study of cachaça. LWT - Food Science and Technology, v. 140, p. 1-9, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.lwt.2020.110836. Acesso em: 18 jul. 2024.APA
Silvello, G. C., Bortoletto, A. M., Castro, M. C. de, & Alcarde, A. R. (2021). New approach for barrel-aged distillates classification based on maturation level and machine learning: a study of cachaça. LWT - Food Science and Technology, 140, 1-9. doi:10.1016/j.lwt.2020.110836NLM
Silvello GC, Bortoletto AM, Castro MC de, Alcarde AR. New approach for barrel-aged distillates classification based on maturation level and machine learning: a study of cachaça [Internet]. LWT - Food Science and Technology. 2021 ; 140 1-9.[citado 2024 jul. 18 ] Available from: https://doi.org/10.1016/j.lwt.2020.110836Vancouver
Silvello GC, Bortoletto AM, Castro MC de, Alcarde AR. New approach for barrel-aged distillates classification based on maturation level and machine learning: a study of cachaça [Internet]. LWT - Food Science and Technology. 2021 ; 140 1-9.[citado 2024 jul. 18 ] Available from: https://doi.org/10.1016/j.lwt.2020.110836
