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Improving animal health and welfare by using sensor data in herd management and dairy cattle breeding - a joint initiative of ICAR and IDF
Egger-Danner, C.; Klaas, I.; Brito, L.F. et al.
2024In Berckmans, Daniel (Ed.) 11th European Conference on Precision Livestock Farming
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Keywords :
animal health; animal welfare; interdisciplinary network; precision dairy; rumination; smart farming; standardisation; wearable sensor; Animal health; Animal welfare; Best practices; Dairy industry; Functional traits; Interdisciplinary network; Precision dairy; Rumination; Sensors data; Smart farming; Animal Science and Zoology
Abstract :
[en] Digitalization is advancing with rapid developments in farm technologies, which has the potential to revolutionize dairy production and to improve its long-term sustainability. Farmers are increasingly using sensors and other technologies that monitor various parameters on their farms. Large amounts of data are collected, but just a small fraction is currently used along the dairy value chain. This has motivated the International Committee of Animal Recording (ICAR) and the International Dairy Federation (IDF) to start a joint initiative aiming at providing guidelines and best practices for using data from sensors across systems and applications, with a focus on functional traits such as health and animal welfare. The key partners are the ICAR Functional Traits Working Group and the IDF Standing Committee of Animal Health and Welfare who have formed a network of representatives from various stakeholders and leading scientists. Research and approaches to improve the usability of data are discussed to promote knowledge transfer and practical implementation in the dairy industry. Experiences and best practices are exchanged, and recommendations for the use of sensor data are being elaborated. The results will be broadly disseminated through ICAR and IDF avenues. Furthermore, the collaboration among multidisciplinary experts is enabling a holistic approach to the current challenges faced by the worldwide dairy industry and will facilitate cutting-edge research and innovation. The initiative will be presented, with a progress report on reference standards, harmonized definitions, and terminology, as well as recommendations and best practices regarding data cleaning and editing and definition of novel traits using data from sensor technologies in herd management and genetic evaluations.
Research Center/Unit :
TERRA Research Centre. Animal Sciences - ULiège
Disciplines :
Genetics & genetic processes
Animal production & animal husbandry
Author, co-author :
Egger-Danner, C.;  ZuchtData EDV-Dienstleistungen GmbH, Vienna, Austria
Klaas, I.;  DeLaval International AB, Tumba, Sweden
Brito, L.F.;  Department of Animal Sciences, Purdue University, West Lafayette, United States
Schodl, K.;  ZuchtData EDV-Dienstleistungen GmbH, Vienna, Austria
Bewley, J.M.;  Holstein Association USA, Brattleboro, United States
Cabrera, V.;  University Wisconsin-Madison, Madison, United States
Haskell, M.;  SRUC (Scotland's Rural College), Edinburgh, United Kingdom
Iwersen, M.;  Centre for Veterinary Systems Transformation and Sustainability, Clinical Department for Farm Animals and Food System Science
Heringstad, B.;  Norwegian University of Life Sciences, Ås, Norway
Stock, K.F.;  IT Solutions for Animal Production (vit), Verden, Germany
Stygar, A.;  Bioeconomy and Environment, Natural Resources Institute Finland (Luke), Helsinki, Finland
van der Linde, R.;  ICAR, Utrecht, Netherlands
Hostens, M.;  College of Agriculture and Life Sciences, Cornell University, Ithaca, United States
Charfeddine, N.;  Conafe, Ctra. de Andalucía, Valdemoro, Spain
Gengler, Nicolas  ;  Université de Liège - ULiège > Département GxABT > Animal Sciences (AS)
Vasseur, E.;  McGill University, Canada
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Language :
English
Title :
Improving animal health and welfare by using sensor data in herd management and dairy cattle breeding - a joint initiative of ICAR and IDF
Publication date :
2024
Event name :
11th European Conference on Precision Livestock Farming
Event place :
Bologna, Italy
Event date :
09-09-2024 => 12-09-2024
Audience :
International
Main work title :
11th European Conference on Precision Livestock Farming
Editor :
Berckmans, Daniel
Publisher :
European Conference on Precision Livestock Farming
ISBN/EAN :
979-1-221-06736-1
Peer review/Selection committee :
Peer reviewed
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since 04 April 2026

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