Process-based crop simulation models are increasingly popular tools to analysis and predict the response of agricultural systems to climatic, agronomic and, more recently genetic, factors. The diversity of models in use illustrates the success of crop modeling. For instance, in it is current work the AgMIP Wheat team uses 42 different wheat models. Several groups in AgMIP have reported large uncertainty in climate impact studies, which is calling for more systematic model intercomparisons and improvements at the process level. However, the limited possibilities of model components (algorithms) and code exchange between platforms/models hinders such work. Collaborative efforts between crop physiologists, crop modelers, and software engineers...
The availability of different crop models and of a variety of techniques to evaluate their behaviour...
The rise of agroecological cropping systems led to increase their complexity. Compared to convention...
Continuing global population growth which is projected to be reaching 9.8 billion by 2050, will rema...
The Agricultural Model Intercomparison and Improvement Project (AgMIP) is a major international effo...
The development of cropping systems simulation capabilities world-wide combined with easy access to ...
Early ancestors of crop simulation models (De Wit, 1965; Monteith, 1965; Duncan et al., 1967) were b...
Models to evaluate the impact of plant diseases on crop production under current and future climatic...
Coffee rust epidemics that occurred in Latin America since 2008 have caused millions of dollars loss...
Farming systems frameworks such as the Agricultural Production Systems simulator (APSIM) represent f...
International audienceProcess-based crop models are popular tools to analyze and simulate the respon...
In most areas of sub-humid tropics where the rainy period is too short to allow a system with a succ...
Process-based crop models are popular tools to analyze and simulate the response of agricultural sys...
The Agricultural Model Intercomparison and Improvement Project (AgMIP) is a major international effo...
Crop growth models developed at field level are increasingly used in larger scale studies often in c...
AbstractCrop simulation models are often used to estimate the impact of climate change on agricultur...
The availability of different crop models and of a variety of techniques to evaluate their behaviour...
The rise of agroecological cropping systems led to increase their complexity. Compared to convention...
Continuing global population growth which is projected to be reaching 9.8 billion by 2050, will rema...
The Agricultural Model Intercomparison and Improvement Project (AgMIP) is a major international effo...
The development of cropping systems simulation capabilities world-wide combined with easy access to ...
Early ancestors of crop simulation models (De Wit, 1965; Monteith, 1965; Duncan et al., 1967) were b...
Models to evaluate the impact of plant diseases on crop production under current and future climatic...
Coffee rust epidemics that occurred in Latin America since 2008 have caused millions of dollars loss...
Farming systems frameworks such as the Agricultural Production Systems simulator (APSIM) represent f...
International audienceProcess-based crop models are popular tools to analyze and simulate the respon...
In most areas of sub-humid tropics where the rainy period is too short to allow a system with a succ...
Process-based crop models are popular tools to analyze and simulate the response of agricultural sys...
The Agricultural Model Intercomparison and Improvement Project (AgMIP) is a major international effo...
Crop growth models developed at field level are increasingly used in larger scale studies often in c...
AbstractCrop simulation models are often used to estimate the impact of climate change on agricultur...
The availability of different crop models and of a variety of techniques to evaluate their behaviour...
The rise of agroecological cropping systems led to increase their complexity. Compared to convention...
Continuing global population growth which is projected to be reaching 9.8 billion by 2050, will rema...