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Intelligent Monitoring of Livestock Production Processes Based on Synergistic Control

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  2010 Pittsburgh, Pennsylvania, June 20 - June 23, 2010  1008694.(doi:10.13031/2013.29704)
Authors:   Kristof Mertens, Eddy Decuypere, Josse De Baerdemaeker, Bart De Ketelaere
Keywords:   Livestock Production Monitoring, Synergistic Control, Statistical Process Control, Engineering Process Control, Control Charts

Sensor development has lead to the availability of ample regularly recorded data on both input and output parameters of livestock production processes. These data flows create the opportunity to develop control charts, a well known tool of Statistical Process Control (SPC), to support the stockman in his daily management task. Control charts support comprehension of the information in process variation by making a distinction between normal and abnormal variation. However, the use of control charts is bounded to assumptions related to the statistical model underlying them. Data originating from livestock production processes are typically seldom stationary and hence have no fixed target value, and they mostly display autocorrelation between successive observations. These statistical unconventionalities complicate the direct application and use of control charts for livestock process parameters.

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