This paper assessed the application potential of artificial intelligence（AI）and sensor technology in the dairy cattle farming industry,with a focus on analyzing the innovative applications of the Internet of Things （IoT）in long-distance livestock transportation, especially the progress in livestock identification and census. These technologies have significantly enhanced the precise traceability during transportation,particularly in monitoring the behavioral patterns of dairy cows and real-time weight changes. By applying these technologies,animal welfare has been improved,supply chain errors have been reduced,productivity has been increased,and market access has been expanded,thereby strengthening global competitiveness. However,the adoption of these technologies faces challenges such as individualized management,economic analysis,data security,privacy protection,technological adaptability,personnel training,and sustainability,and these challenges are closely related to ethical issues such as animal welfare,data abuse,and environmental impact. This study present a successful framework for technological integration and emphasized the importance of continuous learning and adaptation. The potential of AI and sensor technology in advancing the dairy cattle farming industry towards a more sustainable and efficient future is becoming increasingly evident.

precision farming  /  smart agriculture  /  digital livestock management  /  animal welfare technology