Evaluation of a novel computer vision-based livestock monitoring system to identify and track specific behaviors of individual nursery pigs within a group-housed environment.

Schmidt, Ty B; Lancaster, Jessica M; Psota, Eric; Mote, Benny E; Hulbert, Lindsey E; Holliday, Aaron; Woiwode, Ruth; Pérez, Lance C

Schmidt, Ty B; Lancaster, Jessica M; Psota, Eric; Mote, Benny E; Hulbert, Lindsey E; Holliday, Aaron; Woiwode, Ruth; Pérez, Lance C.

Afiliação

Schmidt TB; Department of Animal Science, University of Nebraska - Lincoln, Lincoln, NE 68583, USA.
Lancaster JM; Department of Animal Science, University of Nebraska - Lincoln, Lincoln, NE 68583, USA.
Psota E; Electrical and Computer Engineering, University of Nebraska - Lincoln, Lincoln, NE 68583, USA.
Mote BE; Department of Animal Science, University of Nebraska - Lincoln, Lincoln, NE 68583, USA.
Hulbert LE; Animal Science and Industry, Kansas State University, Manhattan, KS 66506, USA.
Holliday A; Department of Animal Science, University of Nebraska - Lincoln, Lincoln, NE 68583, USA.
Woiwode R; Department of Animal Science, University of Nebraska - Lincoln, Lincoln, NE 68583, USA.
Pérez LC; College of Engineering, University of Nebraska - Lincoln, Lincoln, NE 68583, USA.

Transl Anim Sci ; 6(3): txac082, 2022 Jul.

Article em En | MEDLINE | ID: mdl-35875422

Palavras-chave

Kinect v2; animal behavior; individual identification; multiple-object tracking; precision livestock technology

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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Transl Anim Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Transl Anim Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos