Skip to Content Skip to Navigation

Ginger Ninja – Fusarium predictor multi-expert training data collection

This project aims to increase the seed ginger training dataset for improving the performance of the AI-based Fusarium Predictor prototype developed in the Ginger Ninja pilot project. The pilot study was trained using one expert seed ginger grader. It is proposed to replicate the Ginger Ninja AI-based Fusarium Predictor prototype and distribute them to a series of farms to allow experienced ginger graders to scan and classify seed ginger during the seed cutting season. This data will be collected over four-weeks during seed ginger cutting and then merged with the initial pilot project data to retrain the AI-based classifier and assess this multiple “expert” trained performance to the original system.

Project date

27 Jul 2022-12 Mar 2023
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

Sustainabilities

Related research projects

Search all research projects
Logo for 2024 Gary Sansom Scholarship - Mr Rebel Northey
Poultry

2024 Gary Sansom Scholarship - Mr Rebel Northey

Scholarship award to a student in the chicken meat industry for the purpose of assisting the student with the student&…
  • Funded by

    AgriFutures Australia

  • Project date

    28 Mar 2024 - 27 Mar 2025

  • Research organisation

    Rebel Northey

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.