Data di Pubblicazione:
2018
Citazione:
Automatic cough detection for bovine respiratory disease in a calf house / L. Carpentier, D. Berckmans, A. Youssef, D. Berckmans, T. van Waterschoot, D. Johnston, N. Ferguson, B. Earley, I. Fontana, E. Tullo, M. Guarino, E. Vranken, T. Norton. - In: BIOSYSTEMS ENGINEERING. - ISSN 1537-5110. - 173:Special Issue(2018 Sep), pp. 45-56.
Abstract:
In calf rearing, bovine respiratory disease (BRD) is a major animal health challenge. Farmers
incur severe economic losses due to BRD. Additional to economic costs, outbreaks of BRD
impair the welfare of the animal and extra expertise and labour are needed to treat and care
for the infected animals. Coughing is recognised as a clinical manifestation of BRD. Therefore,
the monitoring of coughing in a calf house has the potential to detect cases of respiratory
infection before they become too severe, and thus to limit the impact of BRD on both
the farmer and the animal. The objective of this study was to develop an algorithm for
detection of coughing sounds in a calf house. Sounds were recorded in four adjacent compartments
of one calf house over two time periods (82 and 96 days). There were approximately
21 and 14 calves in each compartment over the two time-periods, respectively. The
algorithm was developed using 445 min of sound data. These data contained 664 different
cough references, which were labelled by a human expert. It was found that, during the first
time period in all 3 of the compartments and during the second period in 2 out of 4 compartments,
the algorithm worked very well (precision higher than 80%), while in the 2 other
cases the algorithm worked well but the precision was less (66.6% and 53.8%). A relation
between the number of calves diagnosed with BRD and the detected coughs is shown.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
Precision Livestock Farming
Bioacoustics
Sound analysis
Cough
Calves
Elenco autori:
L. Carpentier, D. Berckmans, A. Youssef, D. Berckmans, T. van Waterschoot, D. Johnston, N. Ferguson, B. Earley, I. Fontana, E. Tullo, M. Guarino, E. Vranken, T. Norton
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