With the increase in farm size in Japan’s livestock industry, managing individual animals has become quite difficult. Under such circumstances, disease detection becomes complicated, and a delay in detection increases disease spread and severity. This study aimed to establish an early detection AI ear-tag system and identify respiratory diseases in pigs using body-conducted sounds. An AI ear tag was used for physical robustness and classification algorithms in the pigpen. Additionally, using Pasteurella pneumonia model in pigs, we confirmed the feasibility of using an AI ear-tag system for detection. Finally, it was suggested that early detection of respiratory diseases could be achieved by assessing acoustic features and classification methods.
