CherryGraph: Encoding digital twins of cherry trees into a knowledge graph based on topology

Gilson A, Weule M, Hansen J, Meyer L, Keil F, Scholz O, Killer A, Noack P, Stamminger M, Schmid U (2024)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2024

Publisher: Gesellschaft fur Informatik (GI)

Series: Lecture Notes in Informatics (LNI)

City/Town: Bonn

Book Volume: P344

Pages Range: 71-82

Conference Proceedings Title: 44. GIL-Jahrestagung 2024 - Fokus: Biodiversität fördern durch digitale Landwirtschaft

Event location: Stuttgart DE

ISBN: 9783885797388

DOI: 10.18420/giljt2024_02

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.

Authors with CRIS profile

Lukas Meyer Chair of Visual Computing (LGDV) Marc Stamminger Chair of Visual Computing (LGDV)

Involved external institutions

Fraunhofer-Institut für Integrierte Schaltungen (IIS) DE Germany (DE) Hochschule Weihenstephan-Triesdorf DE Germany (DE) Otto-Friedrich-Universität Bamberg DE Germany (DE)

How to cite

APA:

Gilson, A., Weule, M., Hansen, J., Meyer, L., Keil, F., Scholz, O.,... Schmid, U. (2024). CherryGraph: Encoding digital twins of cherry trees into a knowledge graph based on topology. In Christa Hoffmann, Anthony Stein, Eva Gallmann, Jorg Dorr, Christian Krupitzer, Helga Floto (Eds.), 44. GIL-Jahrestagung 2024 - Fokus: Biodiversität fördern durch digitale Landwirtschaft (pp. 71-82). Stuttgart, DE: Bonn: Gesellschaft fur Informatik (GI).

MLA:

Gilson, Andreas, et al. "CherryGraph: Encoding digital twins of cherry trees into a knowledge graph based on topology." Proceedings of the Die 44. Jahrestagung der Gesellschaft fur Informatik in der Land-, Forst- und Ernahrungswirtschaft 2024 - 44th Annual Conference of the German Association for Informatics in Agriculture, Forestry, and the Food Sector 2024, Stuttgart Ed. Christa Hoffmann, Anthony Stein, Eva Gallmann, Jorg Dorr, Christian Krupitzer, Helga Floto, Bonn: Gesellschaft fur Informatik (GI), 2024. 71-82.

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