R&D Edition: Hyper-local weather forecasting for growers

Vegalogue

Vegalogue is a regular podcast from vegetable, potato and onion industry peak body AUSVEG, where we examine the pressing issues and latest developments in our sector.
In the aftermath of any weather event, if you talk to five growers in a given region, you’ll get six different weather reports.
General weather forecasts rarely provide the local accuracy needed to make crucial farming decisions. Recognising that shortcoming is a levy funded project started earlier this year that applies AI to the task of hyper-local weather forecasting.
The project, Using AI and machine learning to improve weather forecasting, is being delivered by Jane’s Weather, a business founded by meteorologist Jane Bunn, who you may recognise as the weather forecaster and presenter at 7NEWS Melbourne.
Jane and her colleague Josh Cross gave growers a run-down of how hyper-local weather forecasting works and what it lets growers do in a recent webinar run by AUSVEG as part of the Building Biosecurity Capacity and Resilience project.
Learn more about the project discussed in this episode:

• Using AI and machine learning to improve weather forecasting (AS23005)

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