DiscoverGRDC PodcastPredicting weeds using multi-layer analytics
Predicting weeds using multi-layer analytics

Predicting weeds using multi-layer analytics

Update: 2025-11-18
Share

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:


Machinery innovations to revolutionise weed control
Partenerships and vision are key to an autonomous future


Geco Agriculture


InFarm


Bayer Crop Science


 


Project Investment Code:      


UWA2307-005RTX

Learn more about your ad choices. Visit megaphone.fm/adchoices

Comments 
loading
00:00
00:00
1.0x

0.5x

0.8x

1.0x

1.25x

1.5x

2.0x

3.0x

Sleep Timer

Off

End of Episode

5 Minutes

10 Minutes

15 Minutes

30 Minutes

45 Minutes

60 Minutes

120 Minutes

Predicting weeds using multi-layer analytics

Predicting weeds using multi-layer analytics

Grains Research and Development Corporation