C. Kamphuis

Papers

Total Citations

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About

C. Kamphuis is a leading researcher in precision dairy farming, focusing on the integration of sensor technologies to enhance animal monitoring and farm management. Their work centers on developing automated systems for real-time data collection and analysis, addressing critical challenges in identifying individual cows and assessing complex traits like resilience and feed efficiency. Kamphuis’s most-cited paper, “Continuous real-time cow identification by reading ear tags from live-stream video” (2022, 6 citations), introduces a novel computer vision approach to link sensor measurements directly to individual animals, overcoming a key bottleneck in precision agriculture. Another significant contribution, “At-market sensor technologies to develop proxies for resilience and efficiency in dairy cows” (2019, 3 citations), demonstrates how sensor-derived “curve-parameters” can serve as proxies for hard-to-measure traits, offering practical tools for selective breeding and herd management. Though citation counts are modest, reflecting the niche and emerging nature of this field, Kamphuis’s work is foundational for advancing automated, data-driven dairy systems. Their research bridges engineering and animal science, providing scalable solutions that promise to improve animal welfare and farm productivity—a vital step toward sustainable livestock farming.