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Site-specific weed control for ginger cropping systems

Australian ginger growers face a significant threat from weeds with limited opportunities for in crop weed control leading to yield reductions of up to 80%. Growers rely on labour intensive spot-spraying and hand pulling, resulting in significant financial and production risk in the timely management of weeds. This project aims to improve weed control for ginger growers, using artificial intelligence for weed detection, precision herbicide delivery and an evaluation of alternative weed control opportunities.

Project date

1 Jul 2019-31 Jul 2022
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Principal investigator

Michael Walsh

Research organisations

The University of Sydney (USYD)

Project funded by

Multiple industries
Alternative protein Aquaculture Cereal grains Cross industry Essential oils Fruits Game Honey bees Nuts Other rural industries Pasture, fodder & feed Poultry Pulse grains

AgriFutures Australia

AgriFutures Australia proudly focuses on building a rich future for Australian agriculture. We live and work in the regions and …

Multiple industries
Alternative protein Aquaculture Cereal grains Cross industry Essential oils Fruits Game Honey bees Nuts Other rural industries Pasture, fodder & feed Poultry Pulse grains
  • Location

    Australia

  • Organisation type

    Research funding body

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Technology areas

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  • Project date

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  • Research organisation

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