Source: Dairy Herd

Artificial intelligence is rapidly transforming dairy herd management by turning large volumes of farm data into actionable insights. As highlighted by dairy scientist Jeffrey Bewley, AI systems use machine learning to analyze patterns in herd data, enabling predictions about issues such as lameness, milk production, and optimal herd retention decisions. For example, AI can be trained using labeled video data to detect subtle gait changes and identify lameness earlier than human observation. It can also model individual lactation curves to forecast future milk output, potentially influencing breeding and culling strategies. 
Beyond prediction, AI tools can quickly analyze herd reports and generate performance dashboards, saving significant time for producers. However, these systems require extensive training data and careful user input to be effective, and they are not always perfectly accurate. Experts emphasize that AI should support and not replace farmer decision-making. As technology advances, AI is expected to become more intuitive and integrated with robotics, further enhancing efficiency while preserving the importance of human expertise.