Machine Learning in Agriculture
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
Optimising Canola Phenology for Australian Target Production Environments
Genetic diversity toolkit
A genetic diversity toolkit to maximise harvest index by controlling the duration of developmental phase
National Phenology Initiative
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.
Adapting wheat to future warm and dry climates: improved simulation of flowering and tillering