The agriProKnow project develops a novel methodology for process related Information management, which aims at significantly improving the milk production efficiency in precision dairy farming. In a particularly complex cyber-physical production system that combines people, animals and technology, the focus is on animal health and welfare modelling, monitoring, and control, as they play the crucial roles in the production process. The focus of the innovation is a procedure for process knowledge generation, which combines methods of stochastic analysis of sensor data, and semantic situation modeling and semantic data-warehousing.


Start date: 2015-11-01

End date: 2017-10-31

Project partners:

Clinical Unit for Herd Health Management, University Clinic for Ruminants, Vetmeduni Vienna (Vienna, Austria)

Smartbow GmbH (Weibern, Austria)

Institute for Stochastics, Johannes Kepler Univerity Linz (Linz, Austria)

Department for Business Informatics - Data & Knowledge Engineering, Johannes Kepler Univerity Linz (Linz, Austria)

Josephinum Research (Wieselburg, Austria)

Wasserbauer GmbH (Waldneukirchen, Austria)

Institutional lead:

Smartbow GmbH (Weibern, Austria)

Principal investigator:

Univ.-Prof. Marc Drillich Dipl.ECBHM Dipl.ECAR


vet. Erika Gusterer - Research Associate Michael Iwersen - Supervisor

Univ.-Prof. Marc Drillich Dipl.ECBHM Dipl.ECAR - Principal Inverstigator


Accelerometer (Smartbow, Weibern, Austria)

2D Camera (HikVision DS-2CD2665FWD-IZS)

Temperature-Humidity Logger

Milkmeter (GEA, DeLaval)

Commercial partners:

Smartbow (Weibern, Austria)

Wasserbauer GmbH (Waldneukirchen, Austria)

Locations (of data collection and analysis):

FirstFarms Agra M s.r.o. - (Plavecký Štvrtok, Slovakia)

VetFarm (Kremesberg 12, Berndorf, Austria)

Funded by:

Austria Research Promotion Agency (FFG)