Tedward Erker

University of Wisconsin–Madison

Papers

1

Total Citations

8

H-Index

1

About

Tedward Erker is a researcher whose work stands at the intersection of precision dairy farming and computational modeling. His primary area of expertise lies in the simulation of automated milking systems (AMS), with a focus on optimizing efficiency in robotic dairy operations. Erker’s most notable contribution, the 2022 study “Simulation model of quarter milk flowrates to estimate quarter and cow milking duration and automated milking system's box duration,” has garnered 8 citations—a strong signal of its relevance in the niche field of agricultural engineering. In this work, he developed a novel model that simulates individual quarter milk flowrates for an entire herd, enabling precise predictions of both quarter- and udder-level milking durations, as well as the critical “box duration” cows spend inside the robot. This breakthrough allows farmers and AMS designers to better manage robot occupancy, reduce bottlenecks, and improve overall system throughput. Erker’s research is particularly valuable for its practical implications: by translating biological variability into actionable engineering insights, he helps bridge the gap between animal physiology and automation technology. His work represents a key step toward more data-driven, efficient, and sustainable dairy production systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Simulation model of quarter milk flowrates to estimate quarter and cow milking duration and automated milking system's box duration
8 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Wisconsin–Madison

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago