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    Design of a model-based control system for a hybrid ventilation of ÌÇÐÄÊÓÆµ 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

    ÌÇÐÄÊÓÆµ

    Partners

    Aarhus University, Denmark