Kalman filter and an example of its use to detect changes in poultry production responses

被引:18
作者
Roush, W.B. [1 ]
Tomiyama, K. [1 ]
Garnaoui, K.H. [1 ]
D'Alfonso, T.H. [1 ]
Cravener, T.L. [1 ]
机构
[1] Pennsylvania State Univ, University Park, United States
关键词
Feed Consumption - Poultry Production;
D O I
10.1016/0168-1699(92)90005-8
中图分类号
学科分类号
摘要
The Kalman filter, a recursive algorithm for making short-term predictions, was written in BASIC and applied to feed consumption data of a commercial laying hen flock. The results showed that trends such as steady state, slope changes and transient responses could be monitored daily. Early detection of a change in response as differentiated from normal data variation allows the manager to make appropriate management adjustments for the flock.
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页码:347 / 356
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