ICT in large and small dairy systems

Final report

ICT in large and small dairy systems

Call: 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 KnightDenmark86.015.0Danish AgriFish Agency
Ministry of Food, Agriculture and Fisheries
2Department of Animal Science
Aarhus University
Klaus L. IngvartsenDenmark270.0142.0Danish AgriFish Agency
Ministry of Food, Agriculture and Fisheries
3Veterinary Physiology
Vetsuisse Faculty
Department of Engineering and Information Technology
University of Bern
Rupert BruckmaierSwitzerland120.070.0Federal Office for Agriculture - Bundesamt für Landwirtschaft
4Newcastle University
School of Agriculture Food and Rural Development
Ilias KyriazakisUnited Kingdom11.00.0Department for Environment, Food and Rural Affairs
5Centre for Intelligent Dynamic Communications (CIDCOM)
Department of Electronic and Electrical Engineering
University of Strathclyde
Ivan AndonovicUnited Kingdom13.00.0Department for Environment, Food and Rural Affairs
6INRA Research Unit Systemic Modelling applied to Ruminants
INRA - Joint research unit on Dairy Production
INRA
Nicolas FriggensFrance289.0202.0French National Research Agency
7Department of Animal Medicine, Production and Health,
University of Padua
Paolo BerzaghiItaly21.05.0Ministry of Agriculture Food, Forestry & Tourism Policies
8SAC
David RobertsUnited Kingdom14.00.0Department for Environment, Food and Rural Affairs
9Fermoy
Research Directorate
Moorepark Dairy Production Research
TEAGASC - Agriculture and Food Development Authority
Riona SayersIreland150.05.0TEAGASC - Agriculture and Food Development Authority

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.
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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