Transdisciplinary coordination is essential for advancing agricultural modeling with machine learning
2025
Sweet, Lily-Belle | Athanasiadis, Ioannis, N | van Bree, Ron | Castellano, Andres | Martre, Pierre | Paudel, Dilli | Ruane, Alex, C | Zscheischler, Jakob | Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ) | Technische Universität Dresden = Dresden University of Technology (TU Dresden) | Wageningen University and Research [Wageningen] (WUR) | NASA Goddard Institute for Space Studies (GISS) ; NASA Goddard Space Flight Center (GSFC) | Écophysiologie des Plantes sous Stress environnementaux (LEPSE) ; Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro) | Short-Term Scientific Mission from the European COST Action DAMOCLES (CA17109) | Helmholtz Initiative and Networking Fund (Young Investigator Group COMPOUNDX, grant agreement VH-NG-1537). | metaprogram Agriculture and Forestry in the Face of Climate Change: Adaptation and Mitigation (CLIMAE) of INRAE. | NASA GISS Climate Impacts Group support from the Earth System Directorate. | European Union's Digital Europe Programme under grant agreement Nº 101100622 (AgrifoodTEF) | Wageningen University and Research investment theme Data Driven Discoveries in a Changing Climate
International audience
اظهر المزيد [+] اقل [-]إنجليزي. <div><p>Crop models play a key role in the study of climate change impacts on food production as well as improving food systems resilience and analyzing the effect of potential adaptation interventions. Here, we illustrate opportunities that machine learning offers for tackling key challenges of agricultural modeling. However, to unlock the full potential of machine learning, and thereby accelerate progress toward a more secure and sustainable global food system, serious pitfalls must first be addressed. We argue that transdisciplinary coordination is needed to identify impactful research gaps, curate and maintain benchmark datasets, and establish domain-specific best practices.</p></div>
اظهر المزيد [+] اقل [-]الكلمات المفتاحية الخاصة بالمكنز الزراعي (أجروفوك)
المعلومات البيبليوغرافية
تم تزويد هذا السجل من قبل Institut national de la recherche agronomique