Assessing errors during simulation configuration in crop models – A global case study using APSIM-Potato

We assessed the errors during simulation configuration in APSIM-Potato using GxExM experiments worldwide.

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