Abstract

We present a systematic approach for creating digital twins of cherry trees in orchards as part of the project “For5G: Digital Twin”. We aim to develop a basic concept for 5G applications in orchards using a mobile campus network. Digital twins monitor the status of individual trees in every aspect and are a crucial step for the digitalization of processes in horticulture. Our framework incorporates a transformation of photometric data to a 3D reconstruction, which is subsequently segmented and modeled using learning-based approaches. Collecting objective phenotypic features from individual trees over time and storing them in a knowledge graph offers a convenient foundation for gaining new insights. Our approach shows promising results at this point for creating a detailed digital twin of a cherry tree and ultimately the entire orchard.

Poster

Paper and Supplementary Material

Lukas Meyer, Andreas Gilson, Franz Uhrmann, Mareike Weule, Fabian Keil, Bernhard Haunschild, Joachim Oschek, Marco Steglich, Jonathan Hansen, Marc Stamminger and Oliver Scholz
For5G: Systematic Approach for Creating Digital Twins of Cherry Orchards
43. GIL-Jahrestagung, Resiliente Agri-Food-Systeme: Herausforderungen und Lösungsansätze
(hosted on GIL)

[Bibtex]

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