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.

Project team

Dr Baxter Massey

Project Lead | CISS

Liam O'Duibhir

2pi Software

Tynon Matthews

2pi Software

Carsten Eckelmann

2pi Software

Dr James Smith

Bush Heritage

Dr Jem Shimmeld

Nature Foundation

Patrick Byrne

Cassinia Environmental

Deanna Marshall (Victoria)

Weed botanist

Kelsey Bennett (South Australia)

Weed botanist

Meredith Cosgrove (ACT)

Weed botanist

Mitch Rudge (Queensland)

Weed botanist

Andrew Tridgel & Peter Barker (ACT)

Drone pilots

Chris Warrior (South Australia)

Drone pilot

Mitch Rudge (Queensland)

Drone pilot

Pat Byrne (Victoria)

Drone pilot

Project partners

The project received funding from the Australian Government Department of Climate Change, Energy, the Environment and Water Saving Native Species Program (Threat innovation grants).

Project updates

April 2025

WeedRemeed continues to scale up using drones, machine learning and AI to identify weeds in complex landscapes,

Trials have been completed at four sites across the ACT, NSW and Victoria, while upcoming trials are planned for Edgbaston Reserve (QLD) and Hiltaba (SA) next month.