Predicting weeds using multi-layer analytics
Description
Groundbreaking innovation tends to happen through multidisciplinary approaches and a range of expertise. That statement has never been truer than in a new national project bringing together precision technologies, remote sensing, and modern machine capabilities with knowledge of weed ecology and population dynamics to predict the emergence of weed patches across paddocks. This project is part of the Grain Automate
initiative bringing together 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 episode features Mike Ashworth from the UWA node of the Weed Management Initiative, Tom Giles, GRDC Enabling Technologies Senior Manager, and grower John Young.
Contact:
Dr Mike Ashworth
Australian Herbicide resistance initiative, University of Western Australia
mike.ashworth@uwa.edu.au
Tom Giles
GRDC
tom.giles@grdc.com.au
John Young
Grower and GRDC western panel member
johnyoung@wmfarm.com.au
More Information:
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Partenerships and vision are key to an autonomous future
Project Investment Code:
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