A computer vision image differential approach for automatic detection of aggressive behavior in pigs using deep learning.

Fraser, Jasmine; Aricibasi, Harry; Tulpan, Dan; Bergeron, Renée

Fraser, Jasmine; Aricibasi, Harry; Tulpan, Dan; Bergeron, Renée.

Afiliação

Fraser J; Department of Animal Biosciences, Ontario Agricultural College, University of Guelph, 50 Stone Road East, Guelph, ON, CanadaN1G2W1.
Aricibasi H; Department of Biomedical Sciences, Ontario Veterinary College, University of Guelph, 50 Stone Road East, Guelph, ON, CanadaN1G2W1.
Tulpan D; Department of Animal Biosciences, Ontario Agricultural College, University of Guelph, 50 Stone Road East, Guelph, ON, CanadaN1G2W1.
Bergeron R; Department of Animal Biosciences, Ontario Agricultural College, University of Guelph, 50 Stone Road East, Guelph, ON, CanadaN1G2W1.

J Anim Sci ; 1012023 Jan 03.

Article em En | MEDLINE | ID: mdl-37813375

Aggressive behavior in pigs is a major concern for the swine industry that negatively affects animal welfare. This study aims to provide an efficient automatic solution based on computer vision and supervised deep learning models able to distinguish between aggressive and non-aggressive behavior of pigs using video recordings.

Assuntos

Aprendizado Profundo; Suínos; Animais; Redes Neurais de Computação; Computadores; Agressão; Sus scrofa

Palavras-chave

aggressive behavior; computer vision; deep learning; image analysis; pig behavior; video recording

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals Idioma: En Revista: J Anim Sci Ano de publicação: 2023 Tipo de documento: Article

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