Crop Modelling and Uncertainty
Linking Crop Models with Remote Sensing
Bestiapop Python package
Conference & Poster Presentations
Impact of crop management and environment on the spatio-temporal variance of potato yield at regional scale
We determine and quantify the main drivers of potato yield variability under irrigated conditions.
Implications of data aggregation method on crop model outputs – The case of irrigated potato systems in Tasmania, Australia
We evaluated the difference of yield and irrigation using input/output aggregation.
Effects of soil- and climate data aggregation on simulated potato yield and irrigation water requirement
We quantify the data aggregation effects on potato yield and irrigation requirements.
Towards high crop productivity in agriculture based on multi-scale modelling and climate change impact studies
APSIM Potato model development - Mapping potato yield variability under diferent G*E*M scenarios in Tasmania
Uncertainty decomposition in crop models