Design of a model-based control system for a hybrid ventilation of UK livestock buildings.
Abstract
Pen fouling, diarrhoea and tail biting affect the welfare of commercially farmed indoor pigs. At teh same time, they reduce the profitability and sustainability of commercial production systems. The im of this reseach is to use machine learning to predict these events.
Description
The use of machine learning to predict pen fouling, diarrhoea and tail biting in commercially farmed indoor pigs.
Funding Body
Douglas Bomford Trust, Chadacre Agricuktural Trust and The John Oldacre Foundation
Lead Organisation
91Pro
Partners
Aarhus University, Denmark
Project staff
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