Abstract:

【Objective】 The Crop System Simulation Framework (CSSF) is the basis of the reconfigurable simulation software about the crop model resource mapping and design. 【Method】 This research bring the technology of ontology into the field of crop system simulation. Based on the physiological and ecological processes of crop growth, the common characteristics and relationships of crop system (wheat, rice, cotton, rapeseed) modeling processes, model algorithm and model parameters were analyzed and extracted with the ontologies of simulation and crop simulation, the CSSF were constructed. 【Result】 CSSF includes outer (CMOKF) and inner (CMIKF) knowledge frameworks of crop modeling. CMOKF describes the outer common characteristics driven by time, space and environment, while CMIKF describes the inner common characteristics of models components and models algorithm about phasic and phenological development, biomass accumulation, dry matter distribution and yield formation, organ built, plant-soil water dynamics and nutrient balance simulation. 【Conclusion】 CSFF realized the knowledge level sharing the crop modeling concepts, processes, structures and methods, and could play a guiding role on designing the reusable crop model software architecture.

Key words: crop, simulation model, ontology, modeling framework, component framework, algorithm framework