PhD research
Climate-resilient farming systems
Using crop simulation models and climate information to support agricultural adaptation.
My doctoral research focuses on how climate information and crop models can be combined to support more resilient farming systems.
The work draws on crop simulation models such as DSSAT, APSIM, and STICS, alongside seasonal climate forecasts and environmental datasets. The goal is to better understand agricultural sensitivity to weather and climate variability, and to explore adaptation pathways that are practical for decision-making.
The broader emphasis is on translating technical modelling into information that can support climate-resilient agriculture.