ICT in large and small dairy systems
Final report
ICT in large and small dairy systemsCall: ICT and Automation for a Greener Agriculture
Id: 14306
Acronym: DairyICT
Duration:
Friday, 13 October, 2017
Consortium:
No | Partner | Contact | Country | Total 1000€ | Funded 1000€ | Funder |
---|---|---|---|---|---|---|
1 Coord. | Department of Veterinary Clinical and Animal Sciences Department of Large Animal Sciences Faculty of Health and Medical Sciences University of Copenhagen | Chris Knight | Denmark | 86.0 | 15.0 | Danish AgriFish Agency Ministry of Food, Agriculture and Fisheries |
2 | Department of Animal Science Aarhus University | Klaus L. Ingvartsen | Denmark | 270.0 | 142.0 | Danish AgriFish Agency Ministry of Food, Agriculture and Fisheries |
3 | Veterinary Physiology Vetsuisse Faculty Department of Engineering and Information Technology University of Bern | Rupert Bruckmaier | Switzerland | 120.0 | 70.0 | Federal Office for Agriculture - Bundesamt für Landwirtschaft |
4 | Newcastle University School of Agriculture Food and Rural Development | Ilias Kyriazakis | United Kingdom | 11.0 | 0.0 | Department for Environment, Food and Rural Affairs |
5 | Centre for Intelligent Dynamic Communications (CIDCOM) Department of Electronic and Electrical Engineering University of Strathclyde | Ivan Andonovic | United Kingdom | 13.0 | 0.0 | Department for Environment, Food and Rural Affairs |
6 | INRA Research Unit Systemic Modelling applied to Ruminants INRA - Joint research unit on Dairy Production INRA | Nicolas Friggens | France | 289.0 | 202.0 | French National Research Agency |
7 | Department of Animal Medicine, Production and Health, University of Padua | Paolo Berzaghi | Italy | 21.0 | 5.0 | Ministry of Agriculture Food, Forestry & Tourism Policies |
8 | SAC | David Roberts | United Kingdom | 14.0 | 0.0 | Department for Environment, Food and Rural Affairs |
9 | Fermoy Research Directorate Moorepark Dairy Production Research TEAGASC - Agriculture and Food Development Authority | Riona Sayers | Ireland | 150.0 | 5.0 | TEAGASC - Agriculture and Food Development Authority |
Links:
Main results:
The DairyICT project has:
• Resulted in scientific publications relating to milk-derived biomarker assessment of metabolic status in dairy cows, stress-related biomarker assessment in samples taken non-invasively from dairy cows and biomathematical modelling of health and welfare status from sensor data
• Lead to the production of a blueprint for introduction of wellbeing monitoring technologies, published as a peer reviewed review article in Journal of Dairy Research
• Contributed to the development of a commercially successful accelerometer technology capable of monitoring feeding behavior in addition to detecting estrus
• Lead to the establishment of an EU funded COST Researcher Network, FA1308 DairyCare www.dairycareaction.org
Exploitation:
Commercial exploitation: The accelerometer technology that grew out of DairyICT has been puchased by a major milking machine manufacturer and is now sold around the world for reproductive and health management in dairy herds. A number of related technologies are being developed by European companies, mainly SMEs, including two Scottish companies that had direct involvement with DairyICT.
Scientific Exploitation: DairyCare is an EU funded COST Action established in 2014 by DairyICT partners and others, and now has a membership of around 750. DairyCare has organised 4 major international Conferecnes, 4 focused Workshops and a Training School in support of its objective of accelerating the development and application of technologies to assist good dairy husbandry.
Publications:
Dissemination:
Dissemination has occurred through the DairyCare COST action, directly to the scientific community and indirectly through onward dissemination of DairyCare materials to endusers including industry, famrers and the agricultural press
Illustrations:


Approved:
1
Proposal summary:
This multidisciplinary project seeks to integrate and extend existing state of the art technologies to ensure sustainable and responsible management of dairy units, with focus on cow health, milk quality and reduced emissions. We shall focus on milk metabolomic methods for determination of metabolic health, biomarker technologies for assessment of systemic health and accelerometer collars for measuring various activities including feeding behaviour, and hence intake. We shall also have access to NIR technology for feed quality assessment and rumen-bolus technology for measurment of rumen pH. We have advanced teleonomic technologies that will enable us to integrate these input data into decision support tools. Our technologies will monitor animals and environment, detect deviations from the
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