Hybrid CNN-GNN architectures with distributed training for heathland plant classification.

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Bibliographic Details
Title: Hybrid CNN-GNN architectures with distributed training for heathland plant classification.
Authors: Olouladé BM; Department of Ecoscience, Aarhus University, C.F. Møllers Alle, Aarhus, 8000, Denmark., Bak JL; Department of Ecoscience, Aarhus University, C.F. Møllers Alle, Aarhus, 8000, Denmark., Sørensen PB; Department of Ecoscience, Aarhus University, C.F. Møllers Alle, Aarhus, 8000, Denmark., Yu H; School of Sciences, Engineering and Environment, University of Salford, 43 Crescent, Salford, M5 4WT, UK., Damgaard C; Department of Ecoscience, Aarhus University, C.F. Møllers Alle, Aarhus, 8000, Denmark. cfd@ecos.au.dk.
Source: Environmental monitoring and assessment [Environ Monit Assess] 2026 Jun 06; Vol. 198 (7). Date of Electronic Publication: 2026 Jun 06.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE
Database: MEDLINE Ultimate
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