Gomes, Winston Pinheiro Claro 
; Gonçalves, Luís; Silva, Clíssia Barboza da ; Melchert, Wanessa Roberta
Source: Computers and Electronics in Agriculture. Unidades: ESALQ, CENA
Subjects: ANÁLISE DE ALIMENTOS, APRENDIZADO COMPUTACIONAL, CAFÉ, ESPECTROSCOPIA, QUÍMICA DE ALIMENTOS, QUIMIOMETRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GOMES, Winston Pinheiro Claro et al. Application of multispectral imaging combined with machine learning models to discriminate special and traditional green coffee. Computers and Electronics in Agriculture, v. 198, p. 1-9, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2022.107097. Acesso em: 04 jun. 2024.APA
Gomes, W. P. C., Gonçalves, L., Silva, C. B. da, & Melchert, W. R. (2022). Application of multispectral imaging combined with machine learning models to discriminate special and traditional green coffee. Computers and Electronics in Agriculture, 198, 1-9. doi:10.1016/j.compag.2022.107097NLM
Gomes WPC, Gonçalves L, Silva CB da, Melchert WR. Application of multispectral imaging combined with machine learning models to discriminate special and traditional green coffee [Internet]. Computers and Electronics in Agriculture. 2022 ; 198 1-9.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1016/j.compag.2022.107097Vancouver
Gomes WPC, Gonçalves L, Silva CB da, Melchert WR. Application of multispectral imaging combined with machine learning models to discriminate special and traditional green coffee [Internet]. Computers and Electronics in Agriculture. 2022 ; 198 1-9.[citado 2024 jun. 04 ] Available from: https://doi.org/10.1016/j.compag.2022.107097
