Individual animal management for grazing beef cattle (2008–2010)

Abstract:
The aim of this research is to develop automated, individual animal, weighing, condition scoring and drafting systems for cattle suitable for use in extensive grazing systems. Based on machine vision (image recognition and analysis) technology there will be added benefits of improved management of animal breeding/pedigree and surveillance for heath/disease monitoring and individual animal feedback and traceback. Outcomes of the research will be improved cattle management tools that do not require extra labor and can be applied in a paddock situation. ''
Grant type:
ARC Linkage Projects
Researchers:
  • Associate Professor
    School of Agriculture and Food Sciences
    Faculty of Science
  • Associate Professor
    School of Agriculture and Food Sciences
    Faculty of Science
    Affiliated Associate Professor
    Centre for Animal Science
    Queensland Alliance for Agriculture and Food Innovation
Funded by:
Australian Research Council