Automatic Detection of Cow’s Oestrus in Audio Surveillance System
Early detection of anomalies is an important issue in the management of group-housed livestock. In particular, failure to detect oestrus in a timely and accurate way can become a limiting factor in achieving efficient reproductive performance. Although a rich variety of methods has been introduced f...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Asian-Australasian Association of Animal Production Societies
2013-07-01
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| Series: | Asian-Australasian Journal of Animal Sciences |
| Subjects: | |
| Online Access: | http://www.ajas.info/upload/pdf/ajas-26-7-1030-17.pdf |
| _version_ | 1819227300713988096 |
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| author | Y. Chung J. Lee S. Oh D. Park H. H. Chang S. Kim |
| author_facet | Y. Chung J. Lee S. Oh D. Park H. H. Chang S. Kim |
| author_sort | Y. Chung |
| collection | DOAJ |
| description | Early detection of anomalies is an important issue in the management of group-housed livestock. In particular, failure to detect oestrus in a timely and accurate way can become a limiting factor in achieving efficient reproductive performance. Although a rich variety of methods has been introduced for the detection of oestrus, a more accurate and practical method is still required. In this paper, we propose an efficient data mining solution for the detection of oestrus, using the sound data of Korean native cows (Bos taurus coreanea). In this method, we extracted the mel frequency cepstrum coefficients from sound data with a feature dimension reduction, and use the support vector data description as an early anomaly detector. Our experimental results show that this method can be used to detect oestrus both economically (even a cheap microphone) and accurately (over 94% accuracy), either as a standalone solution or to complement known methods. |
| first_indexed | 2024-12-23T10:39:12Z |
| format | Article |
| id | doaj.art-af6f54b7a5c746e9bdd6fd88f1fda6d4 |
| institution | Directory Open Access Journal |
| issn | 1011-2367 1976-5517 |
| language | English |
| last_indexed | 2024-12-23T10:39:12Z |
| publishDate | 2013-07-01 |
| publisher | Asian-Australasian Association of Animal Production Societies |
| record_format | Article |
| series | Asian-Australasian Journal of Animal Sciences |
| spelling | doaj.art-af6f54b7a5c746e9bdd6fd88f1fda6d42022-12-21T17:50:13ZengAsian-Australasian Association of Animal Production SocietiesAsian-Australasian Journal of Animal Sciences1011-23671976-55172013-07-012671030103710.5713/ajas.2012.126284729Automatic Detection of Cow’s Oestrus in Audio Surveillance SystemY. ChungJ. LeeS. OhD. ParkH. H. ChangS. KimEarly detection of anomalies is an important issue in the management of group-housed livestock. In particular, failure to detect oestrus in a timely and accurate way can become a limiting factor in achieving efficient reproductive performance. Although a rich variety of methods has been introduced for the detection of oestrus, a more accurate and practical method is still required. In this paper, we propose an efficient data mining solution for the detection of oestrus, using the sound data of Korean native cows (Bos taurus coreanea). In this method, we extracted the mel frequency cepstrum coefficients from sound data with a feature dimension reduction, and use the support vector data description as an early anomaly detector. Our experimental results show that this method can be used to detect oestrus both economically (even a cheap microphone) and accurately (over 94% accuracy), either as a standalone solution or to complement known methods.http://www.ajas.info/upload/pdf/ajas-26-7-1030-17.pdfCow’s Oestrus DetectionSound DataMel Frequency Cepstrum CoefficientFeature Subset SelectionSupport Vector Data Description |
| spellingShingle | Y. Chung J. Lee S. Oh D. Park H. H. Chang S. Kim Automatic Detection of Cow’s Oestrus in Audio Surveillance System Asian-Australasian Journal of Animal Sciences Cow’s Oestrus Detection Sound Data Mel Frequency Cepstrum Coefficient Feature Subset Selection Support Vector Data Description |
| title | Automatic Detection of Cow’s Oestrus in Audio Surveillance System |
| title_full | Automatic Detection of Cow’s Oestrus in Audio Surveillance System |
| title_fullStr | Automatic Detection of Cow’s Oestrus in Audio Surveillance System |
| title_full_unstemmed | Automatic Detection of Cow’s Oestrus in Audio Surveillance System |
| title_short | Automatic Detection of Cow’s Oestrus in Audio Surveillance System |
| title_sort | automatic detection of cow s oestrus in audio surveillance system |
| topic | Cow’s Oestrus Detection Sound Data Mel Frequency Cepstrum Coefficient Feature Subset Selection Support Vector Data Description |
| url | http://www.ajas.info/upload/pdf/ajas-26-7-1030-17.pdf |
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