White striping degree assessment using computer vision system and consumer acceptance test

OBJECTIVE: The objective of this study was to evaluate three different degrees of white striping (WS) addressing their automatic assessment and customer acceptance. The WS classification was performed based on a computer vision system (CVS), exploring different machine learning (ML) algorithms and t...

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Detalles Bibliográficos
Autores principales: Kato, Talita, Mastelini, Saulo Martiello, Campos, Gabriel Fillipe Centini, da Costa Barbon, Ana Paula Ayub, Prudencio, Sandra Helena, Shimokomaki, Massami, Soares, Adriana Lourenço, Barbon, Sylvio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST) 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6601057/
https://www.ncbi.nlm.nih.gov/pubmed/30744375
http://dx.doi.org/10.5713/ajas.18.0504

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6601057/
https://www.ncbi.nlm.nih.gov/pubmed/30744375
http://dx.doi.org/10.5713/ajas.18.0504

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