Harris Ledvinka
Harris Ledvinka
PhD Student · PAHGISL, University of Sydney
Bio
Harris has a Bachelor of Science and Bachelor of Advanced Studies (Agriculture) (Honours) from the University of Sydney. Her PhD research builds on her Honours thesis, which used weather, remote sensing, genetic and crop management data to predict wheat phenology. She has also worked in industry building satellite-based crop type detection models.
Research
Predicting and understanding Australian grain crop development with machine learning
This thesis focuses on using machine learning to model wheat development, including phenology. The aim is to create practical tools for data-driven decision-making at the farm scale, as well as large-scale spatial and temporal analysis.
Keywords
wheatphenologymachine learningmodel benchmarking
Supervisors
Patrick Filippi, Thomas Bishop
Links