Pushing the boundaries of weed control: Next-gen analytics for weed management

Predicting where weeds will appear is not an exact science - but it soon could be. A new national project is bringing together precision technologies, remote sensing, and modern machine capabilities with knowledge of weed ecology as well as population dynamics to predict the emergence of weed patches across paddocks. This project is part of the Grain Automate initiative and includes weed science expertise from the University of Western Australia and Bayer Crop Science, drone imaging technology from Australian start up, InFarm, and geospatial analytics from Canadian start up, Geco Agriculture. This video features GRDC Enabling Technologies Senior Manager, Tom Giles, Mike Ashworth from the UWA node of the Weed Management Initiative and grower, John Young.

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