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Animal Welfare Management in a Digital World

SIMPLE SUMMARY: The digital revolution opens possibilities to use multiple sensors, a data infrastructure and data analytics to monitor animals or their environment 24/7. Precision Livestock Farming (PLF) offers significant opportunities for a holistic, evidence-based approach to the monitoring and...

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Autores principales: Buller, Henry, Blokhuis, Harry, Lokhorst, Kees, Silberberg, Mathieu, Veissier, Isabelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599464/
https://www.ncbi.nlm.nih.gov/pubmed/33019558
http://dx.doi.org/10.3390/ani10101779
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author Buller, Henry
Blokhuis, Harry
Lokhorst, Kees
Silberberg, Mathieu
Veissier, Isabelle
author_facet Buller, Henry
Blokhuis, Harry
Lokhorst, Kees
Silberberg, Mathieu
Veissier, Isabelle
author_sort Buller, Henry
collection PubMed
description SIMPLE SUMMARY: The digital revolution opens possibilities to use multiple sensors, a data infrastructure and data analytics to monitor animals or their environment 24/7. Precision Livestock Farming (PLF) offers significant opportunities for a holistic, evidence-based approach to the monitoring and surveillance of farmed animal welfare. To date, the emphasis of PLF has been on animal health and productivity. If PLF develops further along these lines, there is a risk that animal health and productivity define welfare. A combined multi-actor approach that brings together industry, scientists, food chain actors, policy-makers and NGOs is needed to develop and use the promise of PLF for the creative and effective improvement of farmed animal welfare, not only taking into account their physical welfare but also their mental one. ABSTRACT: Although there now exists a wide range of policies, instruments and regulations, in Europe and increasingly beyond, to improve and safeguard the welfare of farmed animals, there remain persistent and significant welfare issues in virtually all types of animal production systems ranging from high prevalence of lameness to limited possibilities to express natural behaviours. Protocols and indicators, such as those provided by Welfare Quality, mean that animal welfare can nowadays be regularly measured and surveyed at the farm level. However, the digital revolution in agriculture opens possibilities to quantify animal welfare using multiple sensors and data analytics. This allows daily monitoring of animal welfare at the group and individual animal level, for example, by measuring changes in behaviour patterns or physiological parameters. The present paper explores the potential for developing innovations in digital technologies to improve the management of animal welfare at the farm, during transport or at slaughter. We conclude that the innovations in Precision Livestock Farming (PLF) offer significant opportunities for a more holistic, evidence-based approach to the monitoring and surveillance of farmed animal welfare. To date, the emphasis in much PLF technologies has been on animal health and productivity. This paper argues that this emphasis should not come to define welfare. What is now needed is a coming together of industry, scientists, food chain actors, policy-makers and NGOs to develop and use the promise of PLF for the creative and effective improvement of farmed animal welfare.
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spelling pubmed-75994642020-11-01 Animal Welfare Management in a Digital World Buller, Henry Blokhuis, Harry Lokhorst, Kees Silberberg, Mathieu Veissier, Isabelle Animals (Basel) Review SIMPLE SUMMARY: The digital revolution opens possibilities to use multiple sensors, a data infrastructure and data analytics to monitor animals or their environment 24/7. Precision Livestock Farming (PLF) offers significant opportunities for a holistic, evidence-based approach to the monitoring and surveillance of farmed animal welfare. To date, the emphasis of PLF has been on animal health and productivity. If PLF develops further along these lines, there is a risk that animal health and productivity define welfare. A combined multi-actor approach that brings together industry, scientists, food chain actors, policy-makers and NGOs is needed to develop and use the promise of PLF for the creative and effective improvement of farmed animal welfare, not only taking into account their physical welfare but also their mental one. ABSTRACT: Although there now exists a wide range of policies, instruments and regulations, in Europe and increasingly beyond, to improve and safeguard the welfare of farmed animals, there remain persistent and significant welfare issues in virtually all types of animal production systems ranging from high prevalence of lameness to limited possibilities to express natural behaviours. Protocols and indicators, such as those provided by Welfare Quality, mean that animal welfare can nowadays be regularly measured and surveyed at the farm level. However, the digital revolution in agriculture opens possibilities to quantify animal welfare using multiple sensors and data analytics. This allows daily monitoring of animal welfare at the group and individual animal level, for example, by measuring changes in behaviour patterns or physiological parameters. The present paper explores the potential for developing innovations in digital technologies to improve the management of animal welfare at the farm, during transport or at slaughter. We conclude that the innovations in Precision Livestock Farming (PLF) offer significant opportunities for a more holistic, evidence-based approach to the monitoring and surveillance of farmed animal welfare. To date, the emphasis in much PLF technologies has been on animal health and productivity. This paper argues that this emphasis should not come to define welfare. What is now needed is a coming together of industry, scientists, food chain actors, policy-makers and NGOs to develop and use the promise of PLF for the creative and effective improvement of farmed animal welfare. MDPI 2020-10-01 /pmc/articles/PMC7599464/ /pubmed/33019558 http://dx.doi.org/10.3390/ani10101779 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Buller, Henry
Blokhuis, Harry
Lokhorst, Kees
Silberberg, Mathieu
Veissier, Isabelle
Animal Welfare Management in a Digital World
title Animal Welfare Management in a Digital World
title_full Animal Welfare Management in a Digital World
title_fullStr Animal Welfare Management in a Digital World
title_full_unstemmed Animal Welfare Management in a Digital World
title_short Animal Welfare Management in a Digital World
title_sort animal welfare management in a digital world
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599464/
https://www.ncbi.nlm.nih.gov/pubmed/33019558
http://dx.doi.org/10.3390/ani10101779
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