Renate Luise Doerfler
Technical University of Munich, Institute of Bioinformatics and Systems Biology
Papers
4
Total Citations
31
H-Index
3
About
Renate Luise Doerfler is a leading researcher in precision dairy farming and animal welfare, with a focus on the integration of autonomous technologies in livestock management. Her work centers on understanding how robotic systems—specifically autonomous mobile robot scrapers—affect the health, behavior, and physiological stress responses of dairy cattle. Doerfler’s major contributions include the first comprehensive studies on the welfare implications of robotic walkway cleaning, demonstrating that while these systems improve barn hygiene and reduce infectious hoof disorders, they can also induce measurable stress in cows, as evidenced by changes in cardiac activity, cortisol release, and behavior. Her research has been cited over 30 times, with her 2016 paper on physiological and behavioral responses receiving the most attention (18 citations). Notably, she has also linked robotic cleaning to clinical mastitis and somatic cell count outcomes, providing critical insights for optimizing farm automation. Doerfler’s work bridges animal science and agricultural engineering, offering evidence-based guidelines for the humane implementation of robotics in dairy operations—a rapidly growing field essential for sustainable, high-welfare livestock production.
Research Focus
Key Achievements
Top Papers
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