Articles | Volume 19, issue 2
https://doi.org/10.5194/gmd-19-627-2026
https://doi.org/10.5194/gmd-19-627-2026
Model description paper
 | 
22 Jan 2026
Model description paper |  | 22 Jan 2026

A modelling system for identification of maize ideotypes, optimal sowing dates and nitrogen fertilization under climate change – PREPCLIM-v1

Mihaela Caian, Catalin Lazar, Petru Neague, Antoanela Dobre, Vlad Amihaesei, Zenaida Chitu, Adrian Irasoc, Andreea Popescu, and George Cizmas

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Short summary
We present the implementation of a new climate-phenology integrated system for adaptation to climate change, using high-resolution scenarios and the Decision Support System for Agrotechnology Transfer crop model, with new modules developed for optimal agromanagement and genotypes identification using a hybrid deterministic/machine learning Genetic-Algorithms method. The system is user-interactive in real time. It has been implemented for South Romania and is applicable and extendable for Europe.
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