Clive Phillips

Papers

Total Citations

114

H-Index

About

Clive Phillips is a leading figure in dairy science, whose research bridges animal nutrition, welfare, and the application of cutting-edge technology in livestock management. His work is defined by a commitment to improving both the productivity and well-being of dairy cattle through innovative, data-driven approaches. A landmark contribution is his development of a machine learning framework that accurately predicts daily milk yield, composition, and milking frequency in robotic dairy farms. This work, which has garnered 79 citations, represents a significant step toward precision livestock farming, enabling farmers to optimize herd management and animal health proactively. Phillips’s foundational text, *Progress in Dairy Science* (1995), with 35 citations, remains a key reference, covering critical topics from protein rationing and sodium nutrition to the impacts of recombinant bovine somatotropin and the bovine gene map. Through this synthesis of traditional nutritional science and modern predictive analytics, Phillips has helped shape the future of sustainable, technology-enhanced dairy production, making his research essential reading for students and professionals seeking to understand the evolving landscape of animal agriculture.