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.
|Title of host publication||21st European Conference on Artificial Intelligence|
|Publication status||Published - 2014|
|Event||21st European Conference on Artificial Intelligence (ECAI 2014), Prague, Czech Republic - |
Duration: 18 Aug 2014 → 22 Aug 2014
|Conference||21st European Conference on Artificial Intelligence (ECAI 2014), Prague, Czech Republic|
|Period||18/08/14 → 22/08/14|