Water resources are linked to the global challenges of food insecurity and poverty, as well
as to climate change adaptation and mitigation. In line with the Sustainable Development …

Australian agriculture is world-renowned for leadership in harvesting practices, water-
efficient agronomy, crop and livestock breeding, conservation tillage and development of fit …

These papers (part I and part II) emphasize the need for sensitivity and uncertainty analyses.
A number of techniques are applied, eg latin hypercube sampling, impact response surfaces …

Drought risk assessment provides a vital basis for drought relief and prevention. We
developed a dynamic agricultural drought risk (DADR) assessment model to predict drought …

Uncertainty of input parameters in crop models and high costs of their experimental
evaluation provide an exciting opportunity for sensitivity analysis, which allows identifying …

Water has been a hot topic in international disputes and negotiations in recent decades, and
its management has been prioritized by governments. The system dynamics (SD) method is …

Agroecosystem modelling has increasingly focused on the integration of soil
biogeochemical processes and crop growth. However, few models are available that offer …

Process-based grass models (PBGMs) are widely used for predicting grass growth under
potential climate change and different management practices. However, accurate …

Heterogeneous parallel computing is being widely used for particle transport Monte Carlo
codes on various platforms. However, there is currently no related research on the Sunway …

The article describes the main problems of agriculture associated with the processing of big
data and forecasting. The most significant solutions to problems with the use of …