[INPp1-1] Respiratory Disease Identification of Chicken Voiceprint Based on Audio Processing and Machine Learning Technology | Proceedings of the International Display Workshops Volume 30 (IDW '23)

Proceedings of the International Display Workshops Volume 30 (IDW '23)

Dec 6 - Dec 8, 2023TOKI MESSE Niigata Convention Center

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Proceedings of the International Display Workshops Volume 30 (IDW '23)

Dec 6 - Dec 8, 2023TOKI MESSE Niigata Convention Center

[INPp1-1]Respiratory Disease Identification of Chicken Voiceprint Based on Audio Processing and Machine Learning Technology

*Zhu Jun Qian¹, Chiu Yu Ting¹, Huang Li Yun¹, Hsieh Kuang Wen¹, Hsieh Ming Kun¹, Tsai Yao Chuan¹(1. National Chung Hsing University (Taiwan))

https://doi.org/10.36463/idw.2023.1238

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Keywords:

Voiceprint analysis,Machine learning,Respiratory disease,Animal health

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.

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