Papers
14
Total Citations
165
H-Index
7
About
Beata Sitkowska is a prominent animal science researcher whose work centers on precision dairy farming, automatic milking systems (AMS), and the application of advanced statistical methods to optimize dairy cattle management. Her research has made substantial contributions to understanding how robotic milking technology shapes cow performance and farm productivity, with her foundational 2015 study on milking parameter changes following AMS introduction accumulating 38 citations and establishing a benchmark for the field. Sitkowska has been particularly innovative in applying machine learning techniques — notably decision trees — to forecast milk yield and milking efficiency in Polish Holstein-Friesian cows, work that has garnered significant attention with 31 and 19 citations respectively. Her international comparative analysis across nine European countries and the United States further demonstrates her commitment to contextualizing AMS performance on a global scale. Beyond production traits, she has investigated the genetic architecture of milking characteristics, estimating heritability and genetic correlations — including the promising relationship between rumination time and milk yield — to inform future breeding programs. With over 150 cumulative citations and a research portfolio spanning behavioral, genetic, and computational dimensions of dairy science, Sitkowska represents a vital voice in the modernization of precision livestock farming.
Research Focus
Key Achievements
Top Papers
- 1Changes in milking parameters with robotic milking38 citations · 2015
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- 9Quarter milking in primiparous and multiparous cows6 citations · 2016
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