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Automatic Detection and Recognition of Pig Wasting Diseases Using Sound Data in Audio Surveillance Systems
Automatic detection of pig wasting diseases is an important issue in the management of group-housed pigs. Further, respiratory diseases are one of the main causes of mortality among pigs and loss of productivity in intensive pig farming. In this study, we propose an efficient data mining solution fo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3859042/ https://www.ncbi.nlm.nih.gov/pubmed/24072029 http://dx.doi.org/10.3390/s131012929 |
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author | Chung, Yongwha Oh, Seunggeun Lee, Jonguk Park, Daihee Chang, Hong-Hee Kim, Suk |
author_facet | Chung, Yongwha Oh, Seunggeun Lee, Jonguk Park, Daihee Chang, Hong-Hee Kim, Suk |
author_sort | Chung, Yongwha |
collection | PubMed |
description | Automatic detection of pig wasting diseases is an important issue in the management of group-housed pigs. Further, respiratory diseases are one of the main causes of mortality among pigs and loss of productivity in intensive pig farming. In this study, we propose an efficient data mining solution for the detection and recognition of pig wasting diseases using sound data in audio surveillance systems. In this method, we extract the Mel Frequency Cepstrum Coefficients (MFCC) from sound data with an automatic pig sound acquisition process, and use a hierarchical two-level structure: the Support Vector Data Description (SVDD) and the Sparse Representation Classifier (SRC) as an early anomaly detector and a respiratory disease classifier, respectively. Our experimental results show that this new method can be used to detect pig wasting diseases both economically (even a cheap microphone can be used) and accurately (94% detection and 91% classification accuracy), either as a standalone solution or to complement known methods to obtain a more accurate solution. |
format | Online Article Text |
id | pubmed-3859042 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-38590422013-12-11 Automatic Detection and Recognition of Pig Wasting Diseases Using Sound Data in Audio Surveillance Systems Chung, Yongwha Oh, Seunggeun Lee, Jonguk Park, Daihee Chang, Hong-Hee Kim, Suk Sensors (Basel) Article Automatic detection of pig wasting diseases is an important issue in the management of group-housed pigs. Further, respiratory diseases are one of the main causes of mortality among pigs and loss of productivity in intensive pig farming. In this study, we propose an efficient data mining solution for the detection and recognition of pig wasting diseases using sound data in audio surveillance systems. In this method, we extract the Mel Frequency Cepstrum Coefficients (MFCC) from sound data with an automatic pig sound acquisition process, and use a hierarchical two-level structure: the Support Vector Data Description (SVDD) and the Sparse Representation Classifier (SRC) as an early anomaly detector and a respiratory disease classifier, respectively. Our experimental results show that this new method can be used to detect pig wasting diseases both economically (even a cheap microphone can be used) and accurately (94% detection and 91% classification accuracy), either as a standalone solution or to complement known methods to obtain a more accurate solution. MDPI 2013-09-25 /pmc/articles/PMC3859042/ /pubmed/24072029 http://dx.doi.org/10.3390/s131012929 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Chung, Yongwha Oh, Seunggeun Lee, Jonguk Park, Daihee Chang, Hong-Hee Kim, Suk Automatic Detection and Recognition of Pig Wasting Diseases Using Sound Data in Audio Surveillance Systems |
title | Automatic Detection and Recognition of Pig Wasting Diseases Using Sound Data in Audio Surveillance Systems |
title_full | Automatic Detection and Recognition of Pig Wasting Diseases Using Sound Data in Audio Surveillance Systems |
title_fullStr | Automatic Detection and Recognition of Pig Wasting Diseases Using Sound Data in Audio Surveillance Systems |
title_full_unstemmed | Automatic Detection and Recognition of Pig Wasting Diseases Using Sound Data in Audio Surveillance Systems |
title_short | Automatic Detection and Recognition of Pig Wasting Diseases Using Sound Data in Audio Surveillance Systems |
title_sort | automatic detection and recognition of pig wasting diseases using sound data in audio surveillance systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3859042/ https://www.ncbi.nlm.nih.gov/pubmed/24072029 http://dx.doi.org/10.3390/s131012929 |
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