Process-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 based on a declarative architecture of modular model representation to describe the biophysical processes and their transformation to model components that conform to crop modeling platforms. Here, we present Crop2ML framework and describe the mechanisms of import and export between Crop2ML and modeling platforms.

基于过程的作物模型是分析和模拟农业系统对天气，农艺或遗传因素的响应的流行工具。它们通常是在建模平台中开发的，以确保其将来的扩展，并将不同的作物模型与土壤模型和作物管理事件调度程序结合使用。由于缺乏在建模平台之间交换生物​​物理过程的有效方法，因此很难对作物模拟模型进行比对和改进。我们开发了Crop2ML，这是一个建模框架，可独立于建模平台的形式化和平台之间的组件交换而对作物模型组件进行描述和组装。Crop2ML基于模块化模型表示的声明性体系结构，用于描述生物物理过程及其向符合作物建模平台的模型组件的转换。在这里，我们介绍了Crop2ML框架，并描述了Crop2ML与建模平台之间的导入和导出机制。