Extreme weather events, such as heat waves, frosts, bushfires and unusual rainfall can impact the quality and yield of high-value specialty crops. Growers need timely information to manage production and mitigate risks.
The use of historical data in machine learning means that current AI models are unprepared for long-term changes in climate and extreme weather events.
There’s also the need to better explain outputs from AI models to build consumer trust and grower confidence in the technology.
This technology will be vital in implementing strategies to mitigate risks from oncoming climate change.
This project will analyse trends across recent farming datasets and build in future climate change scenarios with known sectoral vulnerabilities in order to develop new, future-proofed frameworks for AI models on harvest outcomes.
This work will be used to improve the robustness of existing harvest prediction platforms, to account for the increasingly volatile changes to climatic and weather phenomena that is already impacting farmers around the world.
This technology will be vital in helping Yamaha Agriculture, which has a footprint in Australia, New Zealand and the United States, to implement strategies to mitigate risks from climate change.
For more information contact: projects@foodagility.com
Note: This project was initially in partnership with The Yield Technology Solutions, which was acquired by Yamaha Agriculture in 2024.
