Reducing herbicide usage in the Burdekin and Proserpine reef catchment areas with precise robotic weed control in sugarcane (Old ID 26973)
Principal Investigator
The main objective of this project is to develop and build the world’s first robotic platform for selective weed control in sugarcane. Specifically, we aim to retrofit two 12-metre sugarcane booms for farmers in the Burdekin and Proserpine GBR catchment areas with state-of-the-art deep learning detection and spraying technology. The fundamental aim of this project is to significantly minimise the herbicide usage by selective spot spraying. We have set a target to reduce the knockdown herbicide usage on the chosen farms by 80% compared to the traditional blanket spraying that is performed during various stages of the crop cycle.
25 Sep 2020 - 31 Dec 2025
N/A
precision agriculture;Deep Learning;automatic weed control;Robotic;weed management
Autoweed Pty Ltd, Great Barrier Reef Foundation
1159837
Ron White;Bronson Philippa;Brendan Calvert
