Real-time adaptive problem detection in poultry

Steven Woudenberg, Linda van der Gaag, Adrianus Feelders, Armin Elbers

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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 publicationEcai 2014
Subtitle of host publication21st european conference on artificial intelligence, 18-22 August 2014, Prague, Czech Republic
Place of PublicationAmsterdam
Pages1217-1218
Number of pages2
DOIs
Publication statusPublished - 2014

Publication series

Name Frontiers in Artificial Intelligence and Applications
Volume263
ISSN (Print)0922-6389

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