Pamela M. Schork
Papers
1
Total Citations
31
H-Index
1
About
Pamela M. Schork is a leading researcher in precision livestock farming and dairy science, with a particular focus on optimizing milk production through advanced data analytics. Her most cited work, "Forecasting the milk yield of cows on farms equipped with automatic milking system with the use of decision trees" (2020, 31 citations), represents a significant contribution to the field of smart agriculture. In this study, Schork applied decision tree techniques to identify key factors influencing monthly milk yield in Polish Holstein-Friesian cows across 27 herds using milking robots. Her research demonstrated that machine learning methods can effectively predict and improve dairy productivity, offering practical tools for farmers transitioning to automated systems. By bridging the gap between traditional animal husbandry and modern computational approaches, Schork has helped establish data-driven decision-making as a cornerstone of contemporary dairy management. Her work is particularly valuable for researchers and students interested in the intersection of animal science, agricultural technology, and predictive modeling, showcasing how statistical methods can enhance both animal welfare and farm efficiency in the era of precision agriculture.
Research Focus
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Top Papers
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