Transdisciplinary coordination is essential for advancing agricultural modeling with machine learning
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Authors
- Pierre Martre (ORCID: https://orcid.org/0000-0002-7419-6558)
- Alex C. Ruane (ORCID: https://orcid.org/0000-0002-5582-9217)
- Dilli Paudel (ORCID: https://orcid.org/0000-0003-4080-4276)
- Ioannis N. Athanasiadis (ORCID: https://orcid.org/0000-0003-2764-0078)
- Andres Castellano
- Lily‐belle Sweet (ORCID: https://orcid.org/0000-0001-9971-6102)
- Jakob Zscheischler (ORCID: https://orcid.org/0000-0001-6045-1629)
- Ron van Bree
Institutions
- Goddard Institute for Space Studies (US)
- Helmholtz Centre for Environmental Research (DE)
- Norsk Hydro (Germany) (DE)
- Université de Montpellier (FR)
- Institut Agro Montpellier (FR)
- German Research Centre for Artificial Intelligence (DE)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Laboratoire d'Ecophysiologie des Plantes sous Stress environnementaux (FR)
- Institut Agro Montpelier (FR)
- Center for Scalable Data Analytics and Artificial Intelligence (DE)
- Technische Universität Dresden (DE)
- Wageningen University & Research (NL)
Publication Details
- Journal
- One Earth
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1016/j.oneear.2025.101233
- Citations
- 15
- Primary Topic
- Climate change impacts on agriculture
- Type
- article
- Field-Weighted Citation Impact
- 45.40
Funders
- National Aeronautics and Space Administration
- European Commission
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
- Goddard Institute for Space Studies
- Wageningen University and Research