The SIMPLACE crop and ecosystem management modelling platform

Publication date: 06-02-2026
Extent: 28 pages

Contributions by: M. Vianna, A. Enders, T. Gaiser, G. Krauss and T. H. Nguyen, University of Bonn, Germany; S. J. Seidel, University of Natural Resources and Life Sciences, Austria; E. E. Rezaei and H. Webber, Leibniz Centre for Agricultural Landscape Research, Germany; A. Tewes, University of Bonn and xarvioTM BASF Digital Farming GmbH, Germany; A. K. Srivastava and F. Ewert, University of Bonn and Leibniz Centre for Agricultural Landscape Research, Germany

Chapter synopsis:

Process-based crop models have become a central tool for agricultural systems analysis, allowing scientists to explicitly define model structures most suited to a given research question and data availability. With the evolution of computation and programming language paradigms, algorithms describing well-established physiological processes at different levels of detail have become modular and exchangeable across modelling platforms. In this chapter, we present the flexible modelling platform SIMPLACE (Scientific Impact Assessment and Modelling Platform for Advanced Crop and Ecosystem Management). A brief overview is given about how SIMPLACE's core engine and modularisation scheme can represent crop and genetic differences in contrasting environments. We also show SIMPLACE applications with emphasis on genotype x environment (G x E) interactions and areas for further model enhancement in this topic.

DOI: 10.19103/AS.2025.0155.18