Pat Doody
Papers
1
Total Citations
4
H-Index
1
About
Pat Doody’s research sits at the intersection of animal science and artificial intelligence, with a particular focus on precision livestock farming. Their most cited work, “Artificial calf weaning strategies and the role of machine learning: A review” (2017, 4 citations), offers a pioneering synthesis of how machine learning techniques can be applied to optimize weaning protocols in dairy calves—a critical yet understudied area of animal husbandry. By bridging the gap between traditional agricultural practices and cutting-edge computational methods, Doody has helped lay the groundwork for data-driven decision-making in livestock management. While their citation count remains modest, the work is notable for its forward-looking perspective, anticipating the broader integration of AI in agriculture years before it became mainstream. Doody’s contributions are especially valuable for students and researchers exploring the ethical and practical dimensions of applying machine learning to animal welfare, demonstrating how even niche applications can have ripple effects across fields like veterinary science, agricultural engineering, and sustainable food production.
Research Focus
Key Achievements
Top Papers
- 1