This research focuses on animal welfare and serves as an application to precision livestock farming. A sick cough rec-ognition algorithm is combined with a localisation procedure to identify and localise sick animals (pigs in this work) in their housing environment. It is intended to provide continuous 24 hour health monitoring in pig houses and produce early warning in cases where treatment is needed. Early warning can provide the expert with valuable time to assess the importance of the alert and provide treatment only for the animals that pose a high risk.
Online recognition and localization of sick pig cough sounds / V. Exadaktylos, M. Silva, J.M. Aerts, C.J. Taylor, S. Ferrari, M. Guarino, D. Berckmans - In: Animal health, animal welfare and biosecurity : proceedings 2 / [a cura di] A. Aland. - Tartu : Estonian University of Life Sciences, 2007. - ISBN 978-9949-426-32-4. - pp. 615-620 (( Intervento presentato al 13. convegno International Congress in Animal Hygiene tenutosi a Tartu, Estonia nel 2007.
Online recognition and localization of sick pig cough sounds
S. Ferrari;M. Guarino;
2007
Abstract
This research focuses on animal welfare and serves as an application to precision livestock farming. A sick cough rec-ognition algorithm is combined with a localisation procedure to identify and localise sick animals (pigs in this work) in their housing environment. It is intended to provide continuous 24 hour health monitoring in pig houses and produce early warning in cases where treatment is needed. Early warning can provide the expert with valuable time to assess the importance of the alert and provide treatment only for the animals that pose a high risk.
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