A grassland cattle tracking system based on deep learning algorithms is designed.The system fuses YOLOv3 target detection algorithm and Deep SORT target tracking algorithm to detect and track grassland cattle

and combines the proportional-integral-differential（PID）algorithm to control the PTZ camera to follow the grassland cattle stably.The system performs field experiments on the Sunit Zuoqi pasture in Inner Mongolia.The experimental results show that the system runs stably with high accuracy in detecting steppe cattle

and has a good tracking effect.It can achieve automatic cruise when no steppe cattle are detected

and multiple steppe automatic cattle tracking

and the function to track a specified single steppe cattle.