中国畜牧杂志2026，Vol.62Issue(7)：15-24,10.DOI:10.19556/j.0258-7033.20260430-06
奶牛分娩监测技术及预警方法研究进展
Research Progress on Monitoring Technology and Early Warning Methods of Cow Calving
摘要
Abstract
In the context of large-scale dairy farming,stable management of the calving process is paramount for farm production.Precise monitoring and intelligent early warning systems can effectively mitigate the risk of dystocia.However,monitoring methods based on physiological indicators or behavioral characteristics have limitations.Monitoring equipment can easily cause stress and interference to cows,affecting the accuracy of collected data.Furthermore,existing early warning methods are difficult to adapt to the complex farming environment,exhibiting weak generalization ability and failing to achieve accurate calving prediction,significantly limiting the implementation and promotion of intelligent technologies.Therefore,this article systematically reviews the changing patterns of key physiological and behavioral characteristics during the peripartum period,compares the characteristics of various monitoring technologies and early warning methods,summarizes their practical application effects on farms,analyzes the core problems in current research,and prospects future development directions,aiming to provide a reference for the research and application of intelligent calving monitoring technology in large-scale dairy farms.关键词
奶牛分娩/行为特征/监测技术/智能预警/计算机视觉Key words
Cow calving/Behavioral characteristics/Monitoring technologies/Intelligent early warning/Computer vision分类
农业科技引用本文复制引用
胡圆基,宝财吉拉呼,万剑雄,李雷孝,马志强..奶牛分娩监测技术及预警方法研究进展[J].中国畜牧杂志,2026,62(7):15-24,10.基金项目
内蒙古自治区科技"突围"工程"揭榜挂帅"项目(2025KJTW0025-04) （2025KJTW0025-04）
