Henrik Madsen

Papers

Total Citations

H-Index

About

Henrik Madsen is a leading researcher in precision livestock farming, with a primary focus on automated health monitoring in dairy cattle. His work bridges engineering, animal science, and data analytics to develop non-invasive tools for early disease detection. Madsen’s most cited paper, "Application of CUSUM charts to detect lameness in a milking robot" (2007, 32 citations), demonstrates his pioneering use of statistical process control—specifically cumulative sum (CUSUM) charts—to identify lameness from milking robot data. This contribution is significant because it offers a practical, real-time method for detecting a costly and welfare-critical condition without requiring direct observation of the animal. By integrating sensor data with change-point detection algorithms, Madsen has helped shift livestock management toward proactive, data-driven decision-making. His work has been influential in the development of automated health surveillance systems, inspiring further research on behavioral and physiological indicators. With a career dedicated to improving animal welfare and farm efficiency through technology, Henrik Madsen remains a key figure in the application of industrial process control methods to biological systems.