Real-time adaptive problem detection in poultry

Frontiers in Artificial Intelligence and Applications

Volumn 263, Issue , 2014, Pages 1217-1218

  Woudenberg, Steven P D ^a   Van Der Gaag, Linda C ^a   Feelders, Ad ^a   Elbers, Armin R W ^b  

^a UTRECHT UNIVERSITY   (Netherlands)

^b WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE METHODS; LAYING HENS; NATURAL VARIABILITY; POTENTIAL PROBLEMS; PROBLEM DETECTION; PRODUCTION PARAMETERS; REAL- TIME; REAL-TIME IDENTIFICATION; REAL-WORLD;

INTELLIGENT SYSTEMS;

EID: 84923165781     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: 10.3233/978-1-61499-419-0-1217     Document Type: Conference Paper

References (7)

1. G.E.P. Box, G. Jenkins, Time Series Analysis, Forecasting and Control. Holden-Day Incorporated, 1990.
2. C. Lokhorst, Mathematical curves for the description of input and output variables of the daily production process in aviary housing systems for laying hens. Poultry Science, 75: 838-848, 1996.
3. K. Mertens et al., Data-based design of an intelligent control chart for the daily monitoring of the average egg weight. Computers and Electronics in Agriculture, 68: 222-232, 2008.
4. K. Mertens et al., An intelligent control chart for monitoring of autocorrelated egg production process data based on a synergistic control strategy. Computers and Electronics in Agriculture, 69: 100-111, 2009.
5. D.C. Montgomery, Statistical Quality Control. Wiley Hoboken, 2009.
6. E.S. Page, Continuous inspection schemes. Biometrika, 1954.
7. S.P.D. Woudenberg, L.C. van der Gaag, A. Feelders, A.R.W. Elbers, Real time adaptive residual calculation for detecting trend deviations in systems with natural variability, submitted for publication.