Skip to Content Skip to Navigation

Ginger Ninja: Automating disease detection in seed ginger stock

Pests and diseases pose a significant production concern to most ginger growers and are a constant threat to yields. Fusarium, in particular, is a key threat to ginger seed stock as it can be spread through soil from infected plant material. This project pilots the development of an automated vision system for pest and disease management that is capable of robustly identifying signs of Fusarium in seed ginger stock. The greater intent is to achieve automation for sorting diseased from non-diseased ginger.

Project date

1 Jul 2019-16 Apr 2021
Visit website

Principal investigator

Matthew Dunbabin

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 …
  • Location

    Australia

  • Organisation type

    Research funding body

Technology areas

Related research projects

Search all research projects
Logo for Nature Repair Market Bill, Summary Paper

Nature Repair Market Bill, Summary Paper

Develop a research paper providing a comprehensive understanding of the new legislation framework creating a voluntary biodiversity market that will …
  • Funded by

    AgriFutures Australia

  • Project date

    19 Feb 2024 - 1 Apr 2024

  • Research organisation

    Ernst & Young

Have questions?

Find out how we can help you.

Find answers to our most frequently asked questions on research projects, commercial opportunities, organisations and more. 

Still have questions or have feedback on the site? Please get in touch by completing our enquiry form.