Artur Chinelato de Camargo
Papers
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2
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About
Artur Chinelato de Camargo is a researcher focused on the intersection of dairy science, animal behavior, and precision livestock farming. His primary research areas include robotic milking systems, dairy cattle welfare, and the behavioral differences between primiparous and multiparous cows. In his most-cited work, "Comparative Analysis of Milking and Behavior Characteristics of Multiparous and Primiparous Cows in Robotic Systems" (2024), he provides critical insights into how calving order influences milking efficiency and animal behavior in "milk first" automated systems. By analyzing data from a commercial herd, Camargo demonstrates how parity affects voluntary milking visits, milking frequency, and overall system adaptation—findings that help optimize robotic milking protocols for improved productivity and cow welfare. Though early in his career, his work has already garnered attention (2 citations), reflecting its practical relevance for dairy farmers transitioning to automation. Camargo’s research bridges animal science and agricultural technology, offering evidence-based recommendations for managing diverse herds in robotic environments. His contributions are particularly valuable for students and researchers exploring sustainable, technology-driven dairy farming practices.
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