Machine learning applied to high-throughput feature extraction from imagery to map spatial variability.
A technology and analytics platform for improving variety selection.
Optimising Canola Phenology for Australian Target Production Environments
A genetic diversity toolkit to maximise harvest index by controlling the duration of developmental phase
A nationally validated model of wheat and barley flowering time that can be parameterised for new cultivars using molecular markers, genomic data and/or controlled environment phenotypic data.
Spatial temperature measurement and mapping tools to assist growers, advisors and extension specialists manage frost risk at a farm scale
Climate extremes in the low rainfall region of the wheat belt
Raising water productivity: Trait assessment for Australian rainfed wheat
Frost situation analysis in Australia
Adding value to GRDC's National Variety Trial network
Adapting wheat to future warm and dry climates: improved simulation of flowering and tillering