Designing our new boom-mounted green-on-green detection units. Stay tuned. 👀

Here's some details about our new boom-mounted detection system coming your way in 2020: bit.ly/33OGeNE

A look back at our 2018 ATV-mounted prototype automatically detecting and spraying Chinee Apple in the Townsville region: youtube.com/watch?v=CjnxmK…

A closer look at our new boom-mounted green-on-green weed detection units.

Day 2 of GRDC workshop in Wagga on machine learning for weed recognition. Local & international speakers highlighted the potential for the tech to go beyond green on brown to green on green. Site specific weed control will reduce costs, minimise residues & more. Precision Weed Control Lab

Thanks to Jessica Strauss and Peter Newman from the WeedSmart podcast for the opportunity to discuss the present and future of green-on-green technology!

AutoWeed's new green-on-green weed spot-spraying technology is now being deployed to control Navua sedge in pasture on a cattle farm in Malanda QLD.

This machine also hates the sight of milk thistle in a wheat crop

.James Cook Uni students have developed a weed-spraying robot that uses artificial intelligence, to reduce herbicide usage on cane farms. 7NEWS.com.au Georgia Costi #7NEWSa

Excited to deliver new AutoWeed systems to sugarcane farmers in the Lower Burdekin as part of the Great Barrier Reef Foundation's Reef Trust Partnership Innovation Program. @GBRFoundation @envirogov

Here's the team setting up our new office space in Townsville QLD. Exciting times ahead as we continue to develop and deliver our technology to Aussie farmers.

On Wednesday 24 March at Willaroo Farm, Warakirri have open their gates so the AutoWeed team can give you a demo on the tech and improvements. instagram.com/p/CLp9cxAgW-7/…

POSTPONED - AutoWeed Field Day Due to the fantastic rain in the area and the rain still to come, the decision was made to POSTPONE the field day until it dries up a bit. AutoWeed

🚨New dataset alert🚨 The DeepWeeds dataset (originally published in 2019 by Alex Olsen from AutoWeed) is now available on Weed-AI. 17492 images with 8 different invasive weed species annotated at the classification level. Find it here: weed-ai.sydney.edu.au/datasets/71318… 🎯🌿🌱