Bayesian forecasting and dynamic models (2nd ed.)
Bayesian forecasting and dynamic models (2nd ed.)
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
A knowledge-based approach to statistical process control
Computers and Electronics in Agriculture
A model for monitoring the condition of young pigs by their drinking behaviour
Computers and Electronics in Agriculture
A model for monitoring the condition of young pigs by their drinking behaviour
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture
Original paper: Detecting oestrus by monitoring sows' visits to a boar
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture
The automatic monitoring of pigs water use by cameras
Computers and Electronics in Agriculture
Automatic identification of marked pigs in a pen using image pattern recognition
Computers and Electronics in Agriculture
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In normal situations pigs show a stable diurnal drinking pattern. Based on experimental data, a dynamic model is developed for prediction of the drinking behaviour of growing pigs. A state space model with cyclic components is proposed for modelling the diurnal drinking pattern, measured as hourly sums. Determination of variance structure by use of discount factors is suggested. Model performance is investigated by error analysis. The final model contains three cyclic components.