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Exploring the relationship of colour categorization with pork colour standards under different subjective and objective conditions.
Uttaro, B; Zawadski, S; Juárez, M.
Afiliación
  • Uttaro B; Agriculture and Agri-Food Canada, Lacombe Research and Development Centre, 6000 C & E Trail, Lacombe, AB T4L 1W1, Canada.
  • Zawadski S; Agriculture and Agri-Food Canada, Lacombe Research and Development Centre, 6000 C & E Trail, Lacombe, AB T4L 1W1, Canada.
  • Juárez M; Agriculture and Agri-Food Canada, Lacombe Research and Development Centre, 6000 C & E Trail, Lacombe, AB T4L 1W1, Canada. Electronic address: Manuel.Juarez@agr.gc.ca.
Meat Sci ; 219: 109661, 2024 Sep 11.
Article en En | MEDLINE | ID: mdl-39299013
ABSTRACT
The impact of using incorrect lighting while subjectively scoring pork colour with subjective standards (Japanese, Canadian, and Kodak grey) was explored. Lightness was more important than a good colour match between standards and meat. Subjective and image-based automated scoring with Canadian standards were correlated at 0.71-0.77 (P < 0.001) with significant differences in scale distribution (D = 0.14-0.46; P < 0.002), primarily with moderately dark meat. Automated scoring on full colour and greyscale images were strongly related (r = 0.83, P < 0.001) and showed matching score distributions when whole scores were used. Tracking automated colour categorization during blooming showed very good potential for reliable categorization after 1 min exposure to air for most meat colours, indicating that reliable automated on-line sorting of pork for colour is easily within reach.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Meat Sci Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2024 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Meat Sci Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2024 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Reino Unido