Gareth Arnott
Papers
2
Total Citations
3
H-Index
1
About
Gareth Arnott is a leading researcher in animal behavior and welfare, with a particular focus on dairy cattle management and automated milking systems. His work addresses critical challenges in the integration of technology with livestock farming, specifically exploring how to optimize voluntary cow behavior in automatic milking systems (AMS). Arnott’s major contributions center on understanding and enhancing the motivation of dairy cows to visit milking robots, a key factor for system productivity and animal welfare. His innovative studies, such as training cows to respond to auditory cues and implementing priority lanes for vulnerable animals, have practical implications for pasture-based AMS. With his most-cited papers already gaining traction in the field, Arnott’s research is shaping best practices for managing lame or low-ranking cows that are at risk of reduced visit frequency. His work bridges ethology and agricultural engineering, offering evidence-based solutions to improve both farm efficiency and animal well-being. Arnott’s findings are essential reading for students and researchers interested in applied animal behavior, precision livestock farming, and the humane design of modern dairy systems.
Research Focus
Key Achievements
Top Papers
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- 2