Exadaktylos, V. and Silva, M. and Aerts, J.-M. and Taylor, C. James and Ferrari, S. and Guarino, M. and Berckmans, D. (2007) Frequency analysis for real-time identification of sick pigs and disease monitoring in pig houses. In: Precision livestock farming '07. Wageningen Academic Publishers, Wageningen, pp. 125-131. ISBN 978-90-8686-023-4
Full text not available from this repository.Abstract
This paper extends existing cough identification methods and proposes a real-time version for identifying sick pig cough sounds. The analysis and classification is based on the frequency domain characteristics of the signal and a comparison to a reference set is made. This technique evaluates fuzzy c-means clustering to identify the reference set that mirrors the cough characteristics. The identification process can be implemented for real-time applications that would improve and speed up the treatment procedure in pig houses.
| Item Type: | Contribution in Book/Report/Proceedings |
|---|---|
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Departments: | Faculty of Science and Technology > Lancaster Environment Centre Faculty of Science and Technology > Engineering |
| ID Code: | 32495 |
| Deposited By: | Dr C. James Taylor (Engineering) |
| Deposited On: | 29 Mar 2010 09:25 |
| Refereed?: | No |
| Published?: | Published |
| Last Modified: | 26 Jul 2012 21:48 |
| Identification Number: | |
| URI: | http://eprints.lancs.ac.uk/id/eprint/32495 |
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