P.W.G. Groot Koerkamp
Papers
4
Total Citations
84
H-Index
4
About
P.W.G. Groot Koerkamp is a leading researcher in precision livestock farming, focusing on the intersection of animal health, automation, and robotics. His major contributions lie in developing non-invasive, sensor-based technologies to monitor dairy cow well-being and automate farm labor. Notably, his work on using 3-dimensional vision to automatically assess reticulo-ruminal motility—a key indicator of gastrointestinal health—has garnered significant attention, with his 2019 paper on the topic receiving 41 citations. This innovation replaces labor-intensive, costly manual methods, enabling continuous, on-farm health tracking. Groot Koerkamp has also advanced agricultural robotics, pioneering path planning algorithms for autonomous egg collection and grid-based reinforcement learning for manure-removal robots that adapt to dynamic cow behavior, improving efficiency and animal comfort. His longitudinal studies further link automated rumen function assessments to feed changes and milk production, demonstrating practical value for herd management. With a portfolio of highly cited work, Groot Koerkamp is a pivotal figure in creating data-driven, automated solutions that enhance both animal welfare and farm productivity.
Research Focus
Key Achievements
Top Papers
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- 2Path planning for the autonomous collection of eggs on floors26 citations · 2014
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