2022
Niche - A scalable modelling tool to assess G×E×M interactions at continental scales (oral presentation)
Modelling approaches to select best genotypes by environment
BestiaPop - A Python package to automatically generate and visualise gridded climate data for crop model applications (oral presentation)
Bestiapop functionality and applications
The importance of simulation configuration to crop model development (oral presentation)
Model uncertainty decomposition and importance of input uncertainty quantification.
2021
Variance decomposition of model outputs using APSIM Next Generation (video)
Identify the main contributors to the variance in model outputs
2020
Multi-resolution analysis of aggregated spatial data to simulate yield and irrigation water demand at regional scales (oral presentation)
We explored the implications of using coarse resolution input data on model outputs
Historical and current approaches to decompose uncertainty in crop model predictions (poster)
We explored the diverse statistical approaches used to decompose crop model uncertainty
