Automated tracking to measure behavioural changes in pigs for health and welfare monitoring

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ID: 113024
2017
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Abstract
Since animals express their internal state through behaviour, changes in said behaviour may be used to detect early signs of problems, such as in animal health. Continuous observation of livestock by farm staff is impractical in a commercial setting to the degree required to detect behavioural changes relevant for early intervention. An automated monitoring system is developed; it automatically tracks pig movement with depth video cameras, and automatically measures standing, feeding, drinking, and locomotor activities from 3D trajectories. Predictions of standing, feeding, and drinking were validated, but not locomotor activities. An artificial, disruptive challenge; i.e., introduction of a novel object, is used to cause reproducible behavioural changes to enable development of a system to detect the changes automatically. Validation of the automated monitoring system with the controlled challenge study provides a reproducible framework for further development of robust early warning systems for pigs. The automated system is practical in commercial settings because it provides continuous monitoring of multiple behaviours, with metrics of behaviours that may be considered more intuitive and have diagnostic validity. The method has the potential to transform how livestock are monitored, directly impact their health and welfare, and address issues in livestock farming, such as antimicrobial use.
Reference Key
matthews2017scientificautomated Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Stephen G. Matthews;Amy L. Miller;Thomas PlÖtz;Ilias Kyriazakis;Stephen G. Matthews;Amy L. Miller;Thomas PlÖtz;Ilias Kyriazakis;
Journal Scientific reports
Year 2017
DOI
doi:10.1038/s41598-017-17451-6
URL
https://dx.doi.org/10.1038/s41598-017-17451-6
Keywords
computer science neuroscience National Center for Biotechnology Information NCBI NLM MEDLINE animals pubmed abstract nih national institutes of health national library of medicine behavior research support non-u.s. gov't female male animal* swine health* pmid:29242594 pmc5730557 doi:10.1038/s41598-017-17451-6 stephen g matthews amy l miller ilias kyriazakis animal welfare* automation

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