Mark Hansen Mark.Hansen@uwe.ac.uk
Professor of Machine Vision and Machine Learning
Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device
Hansen, M. F.; Smith, M. L.; Smith, L. N.; Abdul Jabbar, K.; Forbes, D.
Authors
Melvyn Smith Melvyn.Smith@uwe.ac.uk
Research Centre Director Vision Lab/Prof
Lyndon Smith Lyndon.Smith@uwe.ac.uk
Professor in Computer Simulation and Machine
K. Abdul Jabbar
D. Forbes
Abstract
© 2018 Here we propose a low-cost automated system for the unobtrusive and continuous welfare monitoring of dairy cattle on the farm. We argue that effective and regular monitoring of multiple condition traits is not currently practicable and go on to propose 3D imaging technology able to acquire differing forms of related animal condition data (body condition, lameness and weight), concurrently using a single device. Results obtained under farm conditions in continuous operation are shown to be comparable or better than manual scoring of the herd. We also consider inherent limitations of using scoring and argue that sensitivity to relative change over successive observations offers greater benefit than the use of what may be considered abstract and arbitrary scoring systems.
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 10, 2018 |
Online Publication Date | Mar 5, 2018 |
Publication Date | Jun 1, 2018 |
Deposit Date | Mar 6, 2018 |
Publicly Available Date | Jan 10, 2020 |
Journal | Computers in Industry |
Print ISSN | 0166-3615 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 98 |
Pages | 14-22 |
DOI | https://doi.org/10.1016/j.compind.2018.02.011 |
Keywords | 3D imaging, body condition score, lameness, weight |
Public URL | https://uwe-repository.worktribe.com/output/874288 |
Publisher URL | https://doi.org/10.1016/j.compind.2018.02.011 |
Contract Date | Mar 6, 2018 |
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Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device
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Copyright Statement
©2018 The Authors. Published by ElsevierB.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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