International audienceProcess-based crop models are popular tools to analyze and simulate the response of agricultural systems to weather, agronomic, or genetic factors. They are often developed in modeling platforms to ensure their future extension and to couple different crop models with a soil model and a crop management event scheduler. The intercomparison and improvement of crop simulation models is difficult due to the lack of efficient methods for exchanging biophysical processes between modeling platforms. We developed Crop2ML, a modeling framework that enables the description and the assembly of crop model components independently of the formalism of modeling platforms and the exchange of components between platforms. Crop2ML is ba...
The process of crop modelling to develop operational software requires different skills, from concep...
Modular frameworks for crop modelling have evolved through simultaneous progress in crop science and...
Keywords: model structure, uncertainty, modularity, software design patterns, good modelling practic...
International audienceProcess-based crop models are popular tools to analyze and simulate the respon...
Process-based crop models are popular tools to analyze and simulate the response of agricultural sys...
International audienceRecently, we proposed Crop2ML, an open-source modeling framework for exchangin...
The increasing impact of climate change and variability on food security and agriculture, and the ne...
The availability of different crop models and of a variety of techniques to evaluate their behaviour...
This is the first release for Crop2ML a framework that provides a metalanguage for crop model compon...
International audienceThe diversity of plant and crop process-based modeling platforms in terms of i...
The process of crop modelling to develop operational software requires different skills, from concep...
The diversity of plant and crop process-based modeling platforms in terms of implementation language...
Crop growth models help to formalize expert knowledge to assess and design cropping systems with mul...
Process-based crop simulation models are increasingly popular tools to analysis and predict the resp...
This thesis is an account of the development and use of a framework to introduce flexibility in crop...
The process of crop modelling to develop operational software requires different skills, from concep...
Modular frameworks for crop modelling have evolved through simultaneous progress in crop science and...
Keywords: model structure, uncertainty, modularity, software design patterns, good modelling practic...
International audienceProcess-based crop models are popular tools to analyze and simulate the respon...
Process-based crop models are popular tools to analyze and simulate the response of agricultural sys...
International audienceRecently, we proposed Crop2ML, an open-source modeling framework for exchangin...
The increasing impact of climate change and variability on food security and agriculture, and the ne...
The availability of different crop models and of a variety of techniques to evaluate their behaviour...
This is the first release for Crop2ML a framework that provides a metalanguage for crop model compon...
International audienceThe diversity of plant and crop process-based modeling platforms in terms of i...
The process of crop modelling to develop operational software requires different skills, from concep...
The diversity of plant and crop process-based modeling platforms in terms of implementation language...
Crop growth models help to formalize expert knowledge to assess and design cropping systems with mul...
Process-based crop simulation models are increasingly popular tools to analysis and predict the resp...
This thesis is an account of the development and use of a framework to introduce flexibility in crop...
The process of crop modelling to develop operational software requires different skills, from concep...
Modular frameworks for crop modelling have evolved through simultaneous progress in crop science and...
Keywords: model structure, uncertainty, modularity, software design patterns, good modelling practic...