Real-time Adaptive Problem Detection in Poultry

被引：3

作者：

Woudenberg, Steven P. D. ^{[1
]}

van der Gaag, Linda C. ^{[1
]}

Feelders, Ad ^{[1
]}

Elbers, Armin R. W. ^{[2
]}

机构：

[1] Univ Utrecht, Dept Informat & Comp Sci, NL-3508 TC Utrecht, Netherlands

[2] Wageningen UR, Cent Vet Inst, Dept Epidemiol, Wageningen, Netherlands

来源：

21ST EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE (ECAI 2014) | 2014年 / 263卷

关键词：

INTELLIGENT CONTROL CHART;

D O I：

10.3233/978-1-61499-419-0-1217

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：1217 / +

页数：2