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Automated reconstruction of 3D plant architecture applied to grapevine phenotyping

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2015

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Gesellschaft für Informatik e.V.

Zusammenfassung

We propose an approach to automated 3D reconstruction of plant architecture followed by a precise derivation of phenotypic traits. We applied and evaluated our approach within a grapevine phenotyping project. The reconstruction results and the derived phenotypic traits could be shown to be in line with given ground truth data. Furthermore, our approach that combines a generative modelling of plants with a probabilistic sampling of the space of reconstruction hypotheses seems to be a promising framework that could potentially improve automated plant reconstruction and automated phenotyping in a broader field of applications.

Beschreibung

Steinhage, Volker; Schöler, Florian (2015): Automated reconstruction of 3D plant architecture applied to grapevine phenotyping. Informatik in der Land-, Forst- und Ernährungswirtschaft 2015. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-632-9. pp. 173-176. Geisenheim. 23.-24. Februar 2015

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