The use of on-farm sensor technology will help prevent disease of dairy cattle. A key aspect is the use of fast and robust sensors as tools for on-farm diagnostics
About the project
This interdisciplinary project is aimed at solving current problems within the sensor technology system and risk management with regard to changes in milk production.
The work includes on-farm sensor technology, identification of new biomarkers in milk, and integration of on-farm data and decision models. A prototype of an ’in-line automated real-time system’, that is based on biomarkers in milk for monitoring health status of dairy cows, is being tested in automatic milking systems.
Proteomic technology has been used for the identification of several new biomarkers for physiological imbalance in liver. The use of the identified liver proteins as potential biomarkers for physiological imbalance in more accessible samples (i.e. blood and milk) is currently being investigated.
Different software for analysis of on-farm data and a proof of concept for integration of data from different origins have been developed.
