Online recognition and localisation of sick pig cough sounds.

Associated organisational units

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

Published

Standard

Online recognition and localisation of sick pig cough sounds. / Exadaktylos, V.; Silva, M.; Aerts, J.-M. et al.
2007. 615-620 Paper presented at 13th International Congress in Animal Hygiene, Tartu, Estonia.

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

Harvard

Exadaktylos, V, Silva, M, Aerts, J-M, Taylor, CJ, Ferrari, S, Guarino, M & Berckmans, D 2007, 'Online recognition and localisation of sick pig cough sounds.', Paper presented at 13th International Congress in Animal Hygiene, Tartu, Estonia, 17/06/07 - 21/06/07 pp. 615-620. <http://www.isah-soc.org/documents/2007/Proc_CONT_2007.pdf>

APA

Exadaktylos, V., Silva, M., Aerts, J-M., Taylor, C. J., Ferrari, S., Guarino, M., & Berckmans, D. (2007). Online recognition and localisation of sick pig cough sounds.. 615-620. Paper presented at 13th International Congress in Animal Hygiene, Tartu, Estonia. http://www.isah-soc.org/documents/2007/Proc_CONT_2007.pdf

Vancouver

Exadaktylos V, Silva M, Aerts J-M, Taylor CJ, Ferrari S, Guarino M et al.. Online recognition and localisation of sick pig cough sounds.. 2007. Paper presented at 13th International Congress in Animal Hygiene, Tartu, Estonia.

Author

Exadaktylos, V. ; Silva, M. ; Aerts, J.-M. et al. / Online recognition and localisation of sick pig cough sounds. Paper presented at 13th International Congress in Animal Hygiene, Tartu, Estonia.6 p.

Bibtex

@conference{840eaf6ddc954d81b9168d8ea44a404b,

title = "Online recognition and localisation of sick pig cough sounds.",

abstract = "This research focuses on animal welfare and serves as an application to precision livestock farming. A sick cough recognition 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.",

author = "V. Exadaktylos and M. Silva and J.-M. Aerts and Taylor, {C. James} and S. Ferrari and M. Guarino and D. Berckmans",

year = "2007",

month = jun,

language = "English",

pages = "615--620",

note = "13th International Congress in Animal Hygiene ; Conference date: 17-06-2007 Through 21-06-2007",

}

RIS

TY - CONF

T1 - Online recognition and localisation of sick pig cough sounds.

AU - Exadaktylos, V.

AU - Silva, M.

AU - Aerts, J.-M.

AU - Taylor, C. James

AU - Ferrari, S.

AU - Guarino, M.

AU - Berckmans, D.

PY - 2007/6

Y1 - 2007/6

N2 - This research focuses on animal welfare and serves as an application to precision livestock farming. A sick cough recognition 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.

AB - This research focuses on animal welfare and serves as an application to precision livestock farming. A sick cough recognition 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.

M3 - Conference paper

SP - 615

EP - 620

T2 - 13th International Congress in Animal Hygiene

Y2 - 17 June 2007 through 21 June 2007

ER -

Research

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