SugarViT-Multi-objective regression of UAV images with Vision Transformers and Deep Label Distribution Learning demonstrated on disease severity prediction in sugar beet.
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| Title: | SugarViT-Multi-objective regression of UAV images with Vision Transformers and Deep Label Distribution Learning demonstrated on disease severity prediction in sugar beet. |
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| Authors: | Günder M; Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven, Sankt Augustin, Germany.; Institute for Computer Science III, University of Bonn, Bonn, Germany., Yamati FRI; Institute for Sugar Beet Research (IfZ), Göttingen, Germany., Barreto A; Institute for Sugar Beet Research (IfZ), Göttingen, Germany., Mahlein AK; Institute for Sugar Beet Research (IfZ), Göttingen, Germany., Sifa R; Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven, Sankt Augustin, Germany.; Institute for Computer Science III, University of Bonn, Bonn, Germany., Bauckhage C; Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven, Sankt Augustin, Germany.; Institute for Computer Science III, University of Bonn, Bonn, Germany. |
| Source: | PloS one [PLoS One] 2025 Feb 13; Vol. 20 (2), pp. e0318097. Date of Electronic Publication: 2025 Feb 13 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0318097 |
