Recording behaviour of indoor-housed farm animals automatically using machine vision technology: A systematic review.

Wurtz, Kaitlin; Camerlink, Irene; D'Eath, Richard B; Fernández, Alberto Peña; Norton, Tomas; Steibel, Juan; Siegford, Janice

Wurtz, Kaitlin; Camerlink, Irene; D'Eath, Richard B; Fernández, Alberto Peña; Norton, Tomas; Steibel, Juan; Siegford, Janice.

Affiliation

Wurtz K; Department of Animal Science, Michigan State University, East Lansing, Michigan, United States of America.
Camerlink I; Department of Farm Animals and Veterinary Public Health, Institute of Animal Welfare Science, University of Veterinary Medicine Vienna, Vienna, Austria.
D'Eath RB; Animal Behaviour & Welfare, Animal and Veterinary Sciences, Scotland's Rural College (SRUC), Edinburgh, United Kingdom.
Fernández AP; M3-BIORES- Measure, Model & Manage Bioresponses, KU Leuven, Leuven, Belgium.
Norton T; M3-BIORES- Measure, Model & Manage Bioresponses, KU Leuven, Leuven, Belgium.
Steibel J; Department of Animal Science, Michigan State University, East Lansing, Michigan, United States of America.
Siegford J; Department of Fisheries and Wildlife, Michigan State University, East Lansing, Michigan, United States of America.

PLoS One ; 14(12): e0226669, 2019.

Article in En | MEDLINE | ID: mdl-31869364

Subject(s)

Animal Husbandry/methods; Animals, Domestic; Video Recording/methods; Animal Welfare; Animals; Animals, Domestic/physiology; Behavior, Animal

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Video Recording / Animal Husbandry / Animals, Domestic Type of study: Prognostic_studies / Qualitative_research / Systematic_reviews Limits: Animals Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2019 Document type: Article Affiliation country: United States Country of publication: United States

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