CherryGraph: Encoding digital twins of cherry trees into a knowledge graph based on topology
dc.contributor.author | Andreas Gilson, Mareike Weule | |
dc.date.accessioned | 2024-04-08T11:56:35Z | |
dc.date.available | 2024-04-08T11:56:35Z | |
dc.date.issued | 2024 | |
dc.description.abstract | CherryGraph is a structural framework for mapping trees into an ontology-based knowledge graph that can be used as database backend for digital twins. Based on the reconstructed 3D topology of scanned trees, information is encoded in a knowledge graph that resembles the real canopy structure of trees. Thus, CherryGraph enables consistent navigation within the branching system of a tree over different time points regardless of natural fluctuations. The resulting knowledge graph can then be queried for arbitrary use cases or aggregated on different hierarchy levels. We demonstrate the potential of CherryGraph by using data of real cherry trees from the 2023 cherry season with exemplary queries that can be extended to include spatial and temporal dimensions for comparing indicators like elongation growth of shoots or tracking the development of other various tree traits over time. | en |
dc.identifier.doi | 10.18420/giljt2024_02 | |
dc.identifier.isbn | 978-3-88579-738-8 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/43908 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | 44. GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft | |
dc.relation.ispartofseries | Lecture Notes in Informatics(LNI) - Proceedings, Volume P - 344 | |
dc.subject | cherry tree | |
dc.subject | digital horticulture | |
dc.subject | digital twin | |
dc.subject | knowledge graph | |
dc.subject | orchard | |
dc.subject | phenotyping | |
dc.subject | tree topology | |
dc.subject | precision farming | |
dc.title | CherryGraph: Encoding digital twins of cherry trees into a knowledge graph based on topology | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 82 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 71 | |
gi.conference.date | 27.-28. Februar 2024 | |
gi.conference.location | Stuttgart | |
gi.conference.review | full |
Dateien
Originalbündel
1 - 1 von 1
Lade...
- Name:
- GIL_2024_Gilson_71-82.pdf
- Größe:
- 660.46 KB
- Format:
- Adobe Portable Document Format