Behavior-Specific Filtering for Enhanced Pig Behavior Classification in Precision Livestock Farming
Fuente:
arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866912505917341696 |
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| author | Zhang, Zhen Ha, Dong Sam Morota, Gota Shin, Sook |
| author_facet | Zhang, Zhen Ha, Dong Sam Morota, Gota Shin, Sook |
| contents | This study proposes a behavior-specific filtering method to improve behavior classification accuracy in Precision Livestock Farming. While traditional filtering methods, such as wavelet denoising, achieved an accuracy of 91.58%, they apply uniform processing to all behaviors. In contrast, the proposed behavior-specific filtering method combines Wavelet Denoising with a Low Pass Filter, tailored to active and inactive pig behaviors, and achieved a peak accuracy of 94.73%. These results highlight the effectiveness of behavior-specific filtering in enhancing animal behavior monitoring, supporting better health management and farm efficiency. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_21021 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Behavior-Specific Filtering for Enhanced Pig Behavior Classification in Precision Livestock Farming Zhang, Zhen Ha, Dong Sam Morota, Gota Shin, Sook Machine Learning This study proposes a behavior-specific filtering method to improve behavior classification accuracy in Precision Livestock Farming. While traditional filtering methods, such as wavelet denoising, achieved an accuracy of 91.58%, they apply uniform processing to all behaviors. In contrast, the proposed behavior-specific filtering method combines Wavelet Denoising with a Low Pass Filter, tailored to active and inactive pig behaviors, and achieved a peak accuracy of 94.73%. These results highlight the effectiveness of behavior-specific filtering in enhancing animal behavior monitoring, supporting better health management and farm efficiency. |
| title | Behavior-Specific Filtering for Enhanced Pig Behavior Classification in Precision Livestock Farming |
| topic | Machine Learning |
| url | https://arxiv.org/abs/2507.21021 |