mLDNDCv1.0: A Machine Learning-based Surrogate of LandscapeDNDC for Optimising Cropping Systems in Denmark

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Authors

Meshach Ojo Aderele · Aarhus University

Edwin Haas · Karlsruhe Institute of Technology

Licheng Liu · University of Wisconsin System

João Serra · Aarhus University

David Kraus · Karlsruhe Institute of Technology

K. Butterbach-Bahl · Karlsruhe Institute of Technology

Jaber Rahimi ·

Abstract

For this release, the code has been updated for easy data handling. All that us required is to download the data from and move it to data_processing/data/. Then follow the ReadME file.

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Publication Details

Published in: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18278474

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mLDNDCv1.0: A Machine Learning-based Surrogate of LandscapeDNDC for Optimising Cropping Systems in Denmark

Authors

Abstract

Topics & Keywords

Publication Details