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Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device

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...

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Detalles Bibliográficos
Autores principales: Hansen, M.F., Smith, M.L., Smith, L.N., Abdul Jabbar, K., Forbes, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6034442/
https://www.ncbi.nlm.nih.gov/pubmed/29997403
http://dx.doi.org/10.1016/j.compind.2018.02.011
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author Hansen, M.F.
Smith, M.L.
Smith, L.N.
Abdul Jabbar, K.
Forbes, D.
author_facet Hansen, M.F.
Smith, M.L.
Smith, L.N.
Abdul Jabbar, K.
Forbes, D.
author_sort Hansen, M.F.
collection PubMed
description 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.
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spelling pubmed-60344422018-07-09 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. Comput Ind Article 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. Elsevier 2018-06 /pmc/articles/PMC6034442/ /pubmed/29997403 http://dx.doi.org/10.1016/j.compind.2018.02.011 Text en © 2018 The Authors. Published by Elsevier B.V. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hansen, M.F.
Smith, M.L.
Smith, L.N.
Abdul Jabbar, K.
Forbes, D.
Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device
title Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device
title_full Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device
title_fullStr Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device
title_full_unstemmed Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device
title_short Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device
title_sort automated monitoring of dairy cow body condition, mobility and weight using a single 3d video capture device
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6034442/
https://www.ncbi.nlm.nih.gov/pubmed/29997403
http://dx.doi.org/10.1016/j.compind.2018.02.011
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