In order to develop a cane yield forecasting system using crop In order to develop a sugarcane yield forecasting system, a crop yield simulation model is evaluated at the scale of a mill supply area (MSA), using historical climate and yield data. The area1 extent of this scale necessitates the development of spatially distributed model input, both for historical model evaluation and for future ...

We retrace the construction of AgriGIS framework between multiple disciplines around a common objective of facilitating research on model simulations for sustainable food security. The geospatial media enabling multidisciplinary research in crop modelling but also supporting new types of hypothesis and analysis, is described with interoperability principles and seamless access and sharing for d...

Crop canopies and residues have been shown to intercept a significant amount of rainfall. However, rainfall or irrigation interception by crops and residues has often been overlooked in hydrologic modelling. Crop canopy interception is controlled by canopy density and rainfall intensity and duration. Crop residue interception is a function of crop residue type, residue density and cover, and ra...

The analysis of a series of crop variety trials often proceeds using a mixed model in which the data are the combined means from individual trials. The residual variation for this model consists of genotype by environment (G.E) interactions and within trial error variation. The latter is regarded as known from the analyses of individual trials, and any associated heterogeneity can be accounted ...

The Gramineae have been a pioneer group among non-woody plants to be modelled with the approach of functional-structural plant modelling (FSPM). During the past decade, models have focussed on morphological aspects of plant development. They now provide crop scientists with general guidelines for building new cereal models. We present some of them here, considering the different aspects of cere...

This paper discusses the need for a more integrated approach to modelling changes in climate and crops, and some of the challenges posed by this. While changes in atmospheric composition are expected to exert an increasing radiative forcing of climate change leading to further warming of global mean temperatures and shifts in precipitation patterns, these are not the only climatic processes whi...

This paper investigates the impact of climate change on the productivity of crop production using U.S. county-level yield and weather data between 1950 and 2015. It finds that the pooled estimators used in previous studies underestimate the sensitivity of crops to high temperatures by ignoring slope heterogeneity, and underestimate the damage of future climate change on yield. Furthermore, expl...