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Clinical mastitis treatment decision tool

Optimising the management of a cow with clinical mastitis is crucial for the cow’s welfare, for ongoing milk production and to limit the costs associated with treatment. The purpose of this project is to develop a machine learning underpinned clinical mastitis decision support tool to improve the way in which farmers use antimicrobials on farm. The secondary objective of this project is to substantially improve health event and treatment data capture in the industry’s Central Data Repository (CDR) to enable farm, milk processor and industry level benchmarking of mastitis incidence and antimicrobial use.

Project date

1 Mar 2021-30 Jun 2024

Principal investigator

John House (University of Sydney)

Research organisations

The University of Sydney (USYD)

Project led by

Multiple industries
Dairy Other rural industries

Dairy Australia

Dairy Australia is the Australian dairy industry’s service organisation. Our purpose is to provide services that collectively benefit and …

Multiple industries
Dairy Other rural industries
  • Location

    Australia

  • Organisation type

    Research funding body

Logo for Dairy Australia

Focus areas

Industries

Sustainabilities

Technology areas

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