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
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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: 16 nov. 2025.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 2025 nov. 16 ] 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 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.compag.2022.107097
