Mathias Bausewein

Institute of Bioinformatics and Systems Biology

Papers

Total Citations

H-Index

About

Mathias Bausewein’s research focuses on the intersection of dairy science, animal health, and precision livestock farming, with a particular emphasis on improving mastitis detection in automated milking systems. His most cited work, a 2022 cross-sectional study in Bavarian dairy herds, rigorously evaluated the sensitivity and specificity of commercial automatic milking systems (AMSs) for detecting clinical mastitis (CM). This study provided critical, real-world data on how reliably these systems identify abnormal milk and trigger separation, directly addressing a key challenge in modern dairy management. By quantifying the diagnostic performance of AMSs, Bausewein’s research offers practical insights for farmers and veterinarians seeking to balance animal welfare, milk quality, and automation efficiency. With 23 citations, this work has already informed discussions on sensor reliability and udder health monitoring. His contributions are vital for advancing precision dairy farming, helping to bridge the gap between technology and on-farm disease management. Bausewein’s research is essential reading for those interested in veterinary epidemiology, dairy technology, and the practical validation of automated health monitoring systems.