Cyrille Ahmed Midingoyi

French National Institute for Agriculture, Food, and Environment (INRAE) | INRAE · Department of Environment and Agronomy

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 impro...

The heterogeneity of crop modeling platforms in terms of implementation language, design pattern, and software architecture constraints, limits the reuse of model components outside the platform in which they have been developed. Our objective is to propose a reuse approach based on a high level of abstraction of model components. To this end, we h...

The diversity of plant and crop process-based modeling platforms in terms of implementation language, software design, and architectural constraints limits the reusability of the model components outside the platform in which they were originally developed, making model reuse a persistent issue. To facilitate the intercomparison and improvement of...

This project aims to contribute to the strengthening of the Early Warning System (EWS) for food security in West Africa by proposing methods to improve the performance of the spatialized crop model SARRA-O. We developed a frameworkfor estimating the dates of the beginning and end of the agricultural season consistent with the field data using the M...