Real-time adaptive problem detection in poultry
Publication date
2014
Authors
Woudenberg, Steven
van der Gaag, L.C.
Feelders, A.J.
Elbers, Armin
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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.
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Woudenberg, S, van der Gaag, L, Feelders, A & Elbers, A 2014, Real-time adaptive problem detection in poultry. in Ecai 2014 : 21st european conference on artificial intelligence, 18-22 August 2014, Prague, Czech Republic. Frontiers in Artificial Intelligence and Applications, vol. 263, Amsterdam, pp. 1217-1218. https://doi.org/10.3233/978-1-61499-419-0-1217