Application of visible/near infrared spectroscopy to beef Longissimus tenderness classification based on artificial neural network

Application of visible/near infrared spectroscopy to beef Longissimus tenderness classification based on artificial neural network (2015)

Authors:
Autor USP: SILVA, SAULO DA LUZ E - FZEA
Unidade: FZEA
Subjects: CARNES E DERIVADOS (QUALIDADE); ESPECTROSCOPIA INFRAVERMELHA; REDES NEURAIS
Language: Inglês
Imprenta:
- Publisher place: Clermont-Ferrand
- Date published: 2015
Source:
- Título: Book of Abstracts ICoMST
Conference titles: International Congress of Meat Science & Technology

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ABNT

BALAGE, Juliana Monteiro et al. Application of visible/near infrared spectroscopy to beef Longissimus tenderness classification based on artificial neural network. 2015, Anais.. Clermont-Ferrand: Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo, 2015. . Acesso em: 04 mar. 2026.
APA

Balage, J. M., Mazon, M. R., Antonelo, D. S., Nubiato, K. E. Z., Brigida, D. J., & Silva, S. da L. e. (2015). Application of visible/near infrared spectroscopy to beef Longissimus tenderness classification based on artificial neural network. In Book of Abstracts ICoMST. Clermont-Ferrand: Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo.
NLM

Balage JM, Mazon MR, Antonelo DS, Nubiato KEZ, Brigida DJ, Silva S da L e. Application of visible/near infrared spectroscopy to beef Longissimus tenderness classification based on artificial neural network. Book of Abstracts ICoMST. 2015 ;[citado 2026 mar. 04 ]
Vancouver

Balage JM, Mazon MR, Antonelo DS, Nubiato KEZ, Brigida DJ, Silva S da L e. Application of visible/near infrared spectroscopy to beef Longissimus tenderness classification based on artificial neural network. Book of Abstracts ICoMST. 2015 ;[citado 2026 mar. 04 ]