P.P.J. van der Tol
Papers
3
Total Citations
23
H-Index
3
About
P.P.J. van der Tol is a leading researcher in precision dairy farming, focusing on the intersection of animal welfare, automation, and sensor technology. His work centers on developing intelligent systems to monitor and manage dairy cattle health and housing. A major contribution is the use of 3D vision-based systems for automatic assessment of rumen function, enabling longitudinal studies that link feed changes and milk production to digestive health—a key step toward non-invasive, continuous health monitoring. His research also tackles practical farm automation, including path planning for manure-robot cleaners using grid-based reinforcement learning (12 citations), which improves cow housing conditions by adapting to dynamic animal behavior. Additionally, he has advanced automatic detection of clinical mastitis in milking robots (6 citations), using sensor data to address a major welfare and economic issue. With a career spanning foundational work in robotic milking systems to cutting-edge AI-driven barn management, van der Tol’s research directly translates into tools that enhance both animal well-being and farm profitability, making him a pivotal figure in the digital transformation of dairy science.
Research Focus
Key Achievements
Top Papers
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