Crop2ML: An open-source multi-language modeling framework for the exchange and reuse of crop model components

Cyrille Ahmed Midingoyi, Christophe Pradal*, Andreas Enders, Davide Fumagalli, Hélène Raynal, Marcello Donatelli, Ioannis N. Athanasiadis, Cheryl Porter, Gerrit Hoogenboom, Dean Holzworth, Frédérick Garcia, Peter Thorburn, Pierre Martre*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)


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.

Original languageEnglish
Article number105055
JournalEnvironmental Modelling and Software
Early online date30 Apr 2021
Publication statusPublished - Aug 2021


  • Component-based software
  • Crop model
  • Crop2ML
  • Model exchange and reuse


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