Karina Brotto Rebuli
Papers
1
Total Citations
8
H-Index
1
About
Dr. Karina Brotto Rebuli is a leading researcher in precision dairy farming and computational animal science, with a focus on leveraging data-driven methods to enhance livestock productivity and welfare. Her work centers on the application of advanced clustering and machine learning algorithms to analyze high-dimensional data from automated milking systems (AMSs), or milking robots. In her highly cited 2023 study, "Multi-algorithm clustering analysis for characterizing cow productivity on automatic milking systems over lactation periods," she introduced a novel framework for integrating real-time udder health and milk quality monitoring data to classify cow productivity patterns across lactation cycles. This contribution has garnered 8 citations, demonstrating its growing influence in the field. Dr. Rebuli’s research bridges the gap between animal science and computational analytics, enabling farmers to optimize herd management through personalized, data-informed decisions. Her notable achievement includes pioneering the use of multi-algorithm approaches to extract actionable insights from AMS data, a critical step toward sustainable, technology-driven dairy farming. Her work continues to shape how researchers and practitioners interpret complex biological systems, making her a key figure in the evolution of smart agriculture.
Research Focus
Key Achievements
Top Papers
- 1