AgriProKnow

Abstract

The agriProKnow project develops a novel methodology for process-oriented 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 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. Furthermore, the use of semantic Web service technology enables creation of an open system that helps different actors in the value chain, to contribute to, and access the new process knowledge which is continuously created and integrated. The system and the procedure will be implemented and verified using real data from several experimental farms.