Infodoc : Sciences, Techniques et Culture

"Crop growth models are, increasingly, applied for modelling crop growth and development under a wide range of climatic and soil conditions, under various management types (e.g. intensive vs. extensive agriculture) and at various scales (from field to globe). In response to these diverse uses of models, new software engineering techniques have recently been adopted in the crop modelling field to construct crop modelling frameworks that create flexibility and modularity in crop growth modelling, thus offering simulation options for different processes relevant to agricultural production systems. Such frameworks facilitate adaptation of the model structure to the objective of the simulation, to the production situation (different environments and management practices), to the spatial sc[...]

"Crop growth models are, increasingly, applied for modelling crop growth and development under a wide range of climatic and soil conditions, under various management types (e.g. intensive vs. extensive agriculture) and at various scales (from field to globe). In response to these diverse uses of models, new software engineering techniques have recently been adopted in the crop modelling field to construct crop modelling frameworks that create flexibility and modularity in crop growth modelling, thus offering simulation options for different processes relevant to agricultural production systems. Such frameworks facilitate adaptation of the model structure to the objective of the simulation, to the production situation (different environments and management practices), to the spatial scale and to data availability. [...]"
"Les modèles de cultures sont de plus en plus utilisés dans un large éventail de conditions climatiques et pédologiques, pour divers types de systèmes de culture (par exemple, intensif vs. extensif) et à de nombreuses échelles (de la parcelle au globe). En réponse à cette diversité d'utilisation, le domaine de la modélisation des cultures a récemment adopté les pratiques du génie logiciel, créant flexibilité et modularité dans les plateformes de simulation pour offrir des options adaptées à chaque type d'utilisation en terme de processus biophysiques simulés, de variables d'intérêt et de mode de conduite simulés. Ces plateformes facilitent le changement de la structure des modèles en fonction de l'objectif de simulation, des niveaux de productions (différent environnements et pratiques agricoles), de l'échelle et de la disponibilité des données. [...]"