Patrizia Tassinari
Papers
2
Total Citations
31
H-Index
2
About
Patrizia Tassinari’s research lies at the intersection of precision livestock farming, animal welfare, and data-driven agricultural engineering. Her work focuses on developing innovative computational models to monitor and improve dairy cattle management, particularly in automated milking systems. Her most cited paper, *"A cluster-graph model for herd characterisation in dairy farms equipped with an automatic milking system"* (2018, 23 citations), introduced a novel approach to analyzing herd behavior and productivity patterns, enabling farmers to optimize management strategies through advanced data clustering. More recently, her involvement in the *DAIRY CHAOS* project (2024, 8 citations) demonstrates her commitment to tackling critical challenges like heat stress in intensive dairy farming. This work uses data-driven methods for early detection of irregular production and welfare issues, directly supporting the development of more resilient housing systems and management practices. Tassinari’s contributions are vital for bridging the gap between big data analytics and practical animal husbandry, offering scalable solutions that enhance both productivity and animal well-being. Her research is increasingly influential among agricultural engineers and veterinarians seeking sustainable intensification in dairy operations.
Research Focus
Key Achievements
Top Papers
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