Luciana Bava

Papers

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About

Luciana Bava is a leading researcher in precision livestock farming, with a primary focus on the health, welfare, and behavior of dairy cows in automated milking systems (AMS). Her work bridges animal science and data analytics, using text mining and sensor-based technologies to extract actionable insights from complex on-farm data. Bava’s most notable contribution is her 2024 study, "Unlocking insights: text mining analysis on the health, welfare, and behavior of cows in automated milking systems," which has already garnered 4 citations shortly after publication. This research systematically analyzes decades of scientific literature to map how AMS—which reduce milking workload and increase milk yield—impact cow well-being. By identifying key behavioral and health indicators, her work provides a framework for improving animal welfare without sacrificing productivity. Bava’s research is highly influential among veterinarians, dairy scientists, and smart-farming technologists, offering practical guidance for optimizing AMS management. Her interdisciplinary approach, combining computational methods with traditional ethology, positions her as a key voice in the future of sustainable, data-driven dairy farming.