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Frequency analysis for real-time identification of sick pigs and disease monitoring in pig houses.

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

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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: 09 Apr 2014 20:42
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/32495

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