Status: New
Start date: 1 July 2024
Completion date: 31 March 2026
Project code: M-209
Species/Threats:
Weeds
Summary
The WeedRemeed™ project uses drones equipped with camera to take images of native plant and weed species.
WeedRemeed™ uses advanced colour picking and Artificial Intelligence (AI) and Machine Learning (ML) technology to identify and locate important native plants and weed species.
Objectives
The objectives of this project are to:
- Enhance and expand the WeedRemeed™ technology. Initially, key threatened native and weed species will be identified to improve the AI/ML model. Software engineering efforts will enhance the AI/ML pipeline and colour picking features to boost system accuracy and usability for these species.
- Scale the solution nationally and commercially to ensure its sustainability and availability for Nature Repair Market users.
- Promote the adoption of WeedRemeed™ technology among stakeholders in the Nature Repair Market.
Project team
Project team
Andreas Glanznig
Project Lead
| CISS
Liam O'Duibhir
2pi SoftwareTynon Matthews
2pi SoftwareCarsten Eckelmann
2pi SoftwareDr Rebecca Spindler
Bush HeritageAlex Nankivell
Nature FoundationPaul Dettman
Cassinia EnvironmentalPatrick Byrne
Cassinia EnvironmentalAndrew Mitchell
Weed botanistNeil Murdoch
Chief drone pilot
Project partners
