Australian ginger growers face a significant threat from weeds with limited opportunities for in crop weed control leading to yield reductions of up to 80%. Growers rely on labour intensive spot-spraying and hand pulling, resulting in significant financial and production risk in the timely management of weeds. This project aims to improve weed control for ginger growers, using artificial intelligence for weed detection, precision herbicide delivery and an evaluation of alternative weed control opportunities.