Flora Incognita² - Vegetationsscanner zur automatischen Vegetationsaufnahme mittels Smartphone und KI
Schlussbericht: Flora Incognita²
| dc.contributor.author | Wäldchen, Jana | |
| dc.contributor.author | Mäder, Patrick | |
| dc.date.accessioned | 2026-03-26T06:27:42Z | |
| dc.date.available | 2026-03-26T06:27:42Z | |
| dc.date.issued | 2026-03-26 | |
| dc.description.abstract | [no abstract available] | ger |
| dc.description.version | publishedVersion | |
| dc.identifier.uri | https://oa.tib.eu/renate/handle/123456789/33586 | |
| dc.identifier.uri | https://doi.org/10.34657/32654 | |
| dc.language.iso | ger | |
| dc.publisher | Hannover : Technische Informationsbibliothek | |
| dc.relation.affiliation | Technische Universität Ilmenau, Fakultät Informatik und Automatisierung, Data-intensive Systems and Visualization Group | |
| dc.relation.affiliation | Max-Planck-Institut für Biogeochemie Jena, Department Biogeochemische Integration | |
| dc.rights.license | CC BY-NC-ND 3.0 DE | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/de/ | |
| dc.subject.ddc | 000 | Informatik, Information und Wissen, allgemeine Werke | |
| dc.subject.ddc | 500 | Naturwissenschaften | |
| dc.title | Flora Incognita² - Vegetationsscanner zur automatischen Vegetationsaufnahme mittels Smartphone und KI | ger |
| dc.title.subtitle | Schlussbericht: Flora Incognita² | |
| dc.type | Report | |
| dcterms.extent | 21 Seiten | |
| dtf.duration | 1. Mai 2021-31. Oktober 2025 | |
| dtf.funding.funder | BMFTR | |
| dtf.funding.program | 03LC2019A1 | |
| dtf.funding.program | 03LC2019B1 | |
| dtf.funding.program | 16LC2019A1 | |
| dtf.funding.program | 16LC2019B1 | |
| dtf.funding.verbundnummer | 01221176 | |
| tib.accessRights | openAccess |
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