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Developments in automated systems for monitoring livestock health: lameness

Code: 9781801465182
Zoe E. Barker, University of Reading, UK; Nick J. Bell, University of Nottingham, UK; Jonathan R. Amory, Writtle University College, UK; and Edward A. Codling, University of Essex, UK

Chapter synopsis: Lameness is a key issue for commercially managed livestock species such as dairy cattle. Lameness can lead to significant economic impacts for farmers and to ongoing health and welfare problems for animals. However, lameness detection remains a difficult and time-consuming task and there is a need for reliable automated methods to support farmers, especially where herd sizes are large. In this chapter we provide an overview of lameness and its impacts on animal health and behaviour, with a particular focus on dairy cows. We review existing methods for manual and automated detection of lameness, including approaches that detect changes and abnormalities in the gait or stance of the animal, and methods that directly or indirectly detect changes in individual and social behaviour. We highlight approaches that use automated technology such as video, accelerometers and spatial positioning systems, and discuss methods to analyse trends and signals in these data.

DOI: 10.19103/AS.2021.0090.10
Table of contents 1 Introduction 2 Lameness and its impacts 3 Lameness and behaviour 4 Non-automated detection of lameness 5 Automated detection of lameness using non-wearable technology 6 Automated detection of lameness using animal-mounted accelerometers 7 Automated detection of lameness using spatial positioning systems 8 Conclusion and future trends 9 Where to look for further information 10 References

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