Real-time adaptive problem detection in poultry

S.P.D. Woudenberg, L.C. van der Gaag, A. Feelders, A.R.W. Elbers

Research output: Chapter in Book/Report/Conference proceedingConference paper

2 Citations (Scopus)

Abstract

Real-time identification of unexpected values upon monitoring the production parameters of egg laying hens is quite challenging, as the collected data includes natural variability in addition to chance fluctuation. We present an adaptive method for calculating residuals that reflect the latter type of fluctuation only, and thereby provide for more accurate detection of potential problems. We report on the application of our method to real-world poultry data.
Original languageEnglish
Title of host publication21st European Conference on Artificial Intelligence
PublisherIOS Press
Pages1217-1218
Volume263
ISBN (Print)9781614994183
DOIs
Publication statusPublished - 2014
Event21st European Conference on Artificial Intelligence (ECAI 2014), Prague, Czech Republic -
Duration: 18 Aug 201422 Aug 2014

Conference

Conference21st European Conference on Artificial Intelligence (ECAI 2014), Prague, Czech Republic
Period18/08/1422/08/14

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Woudenberg, S. P. D., van der Gaag, L. C., Feelders, A., & Elbers, A. R. W. (2014). Real-time adaptive problem detection in poultry. In 21st European Conference on Artificial Intelligence (Vol. 263, pp. 1217-1218). IOS Press. https://doi.org/10.3233/978-1-61499-419-0-1217