QUT’s AgBot II prototype is equipped with cameras, sensors and software and is designed to work in autonomous groups to navigate, detect and classify weeds and manage them either chemically or mechanically as well as apply fertilizer for site specific crop management. AgBot II is currently being trialled in the field. Associate Investigator Tristan Perez, Research Affiliate Chris McCool and QUT researchers talk about the project.
Australian Centre for Robotic Vision
2 George Street Brisbane, 4001
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