This study develops a device using audio processing and machine learning to identify and monitor respiratory diseases in poultry, improving automation in health monitoring, enhancing production efficiency, reducing disease transmission risk, lowering technical barriers, and optimizing farmers' management. Achieves a 91.6% accuracy in chicken respiratory disease vocalization recognition.