奶牛分娩监测技术及预警方法研究进展OA

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.