Papers
5
Total Citations
167
H-Index
5
About
Boyu Ji is a pioneering researcher at the intersection of precision livestock farming, machine learning, and dairy cattle welfare. His work focuses primarily on robotic dairy systems, using advanced computational methods to optimize farm performance and animal health monitoring. Ji's most recognized contribution is a 2022 machine learning framework capable of predicting daily milk yield, composition, and milking frequency for individual cows — a breakthrough that has garnered 79 citations and represents a significant leap forward in data-driven farm management. Equally notable is his landmark four-part series on heat stress modelling in robotic dairy farms, published between 2019 and 2020, which collectively amassed over 88 citations. This comprehensive body of work systematically established thermal comfort indices as production loss indicators, identified critical stress thresholds, analyzed impacts on rumination and milking behavior, and examined cumulative heat stress effects over time. Together, these studies provide dairy farmers and agricultural engineers with an unprecedented, evidence-based toolkit for mitigating climate-related productivity losses. Ji's research is particularly valuable for students exploring smart agriculture and sustainable livestock production in an era of increasing climate uncertainty.
Research Focus
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