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.

Wheat adaptation

Adapting wheat to future warm and dry climates: improved simulation of flowering and tillering