To solve the problems of artificial weighing, which is time-consuming and laborious, easy to cause animal stress, and electronic instruments are easy to destroy in the process of poultry breeding, a set of wireless dynamic adaptive weighing systems is designed in this paper. The system combines empirical mode decomposition and robust Kalman filter to improve the algorithm and proposes an innovative queue-based automatic peeling algorithm to solve the weighing zero offset problem caused by feces and feed accumulation. Through the practical application and monitoring verification in broiler farms, the results show that the wireless dynamic adaptive weighing system designed in this paper can obtain animal weight quickly and accurately, and has good adaptability, stability, and robustness.