A computer vision-based approach for behavior recognition of gestating sows fed different fiber levels during high ambient temperature

The objectives of this study were to evaluate convolutional neural network models and computer vision techniques for the classification of swine posture with high accuracy and to use the derived result in the investigation of the effect of dietary fiber level on the behavioral characteristics of the...

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Detalles Bibliográficos
Autores principales: Kasani, Payam Hosseinzadeh, Oh, Seung Min, Choi, Yo Han, Ha, Sang Hun, Jun, Hyungmin, Park, Kyu Hyun, Ko, Han Seo, Kim, Jo Eun, Choi, Jung Woo, Cho, Eun Seok, Kim, Jin Soo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Animal Sciences and Technology 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8071751/
https://www.ncbi.nlm.nih.gov/pubmed/33987611
http://dx.doi.org/10.5187/jast.2021.e35

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8071751/
https://www.ncbi.nlm.nih.gov/pubmed/33987611
http://dx.doi.org/10.5187/jast.2021.e35

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