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001028695 1001_ $$0P:(DE-Juel1)185995$$aBaker, Dirk N.$$b0
001028695 245__ $$aVRoot: An XR-Based Application for Manual Root System Architecture Reconstruction
001028695 260__ $$aWashington, D.C.$$bAmerican Association for the Advancement of Science$$c2025
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001028695 520__ $$aThis article describes an immersive extended reality reconstruction tool for root system architectures from 3D volumetric scans of soil columns. We have conducted a laboratory user study to assess the performance of new users with our software in comparison to classical and established desktop software. We utilize a functional-structural plant model to derive a synthetic root architecture that serves as objective quantification for the root system architecture reconstruction. Additionally, we have collected quantitative feedback on our software in the form of standardized questionnaires. This work provides an overview of the extended reality software and the advantage of using immersive techniques for 3D data extraction in plant science. Through our formal study, we further provide a quantification of manual root system reconstruction accuracy. We observe an increase in root system architecture reconstruction accuracy (F1) compared to state-of-the-art desktop software and a more robust extraction quality.
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001028695 7001_ $$0P:(DE-Juel1)179508$$aSelzner, Tobias$$b1
001028695 7001_ $$0P:(DE-Juel1)168541$$aGöbbert, Jens Henrik$$b2
001028695 7001_ $$0P:(DE-Juel1)129394$$aScharr, Hanno$$b3$$ufzj
001028695 7001_ $$0P:(DE-Juel1)132239$$aRiedel, Morris$$b4
001028695 7001_ $$00000-0002-8041-5542$$aHvannberg, Ebba Þóra$$b5
001028695 7001_ $$0P:(DE-Juel1)157922$$aSchnepf, Andrea$$b6
001028695 7001_ $$00000-0003-3451-4977$$aZielasko, Daniel$$b7
001028695 773__ $$0PERI:(DE-600)2968615-5$$ahttps://doi.org/10.1101/2024.06.13.598253$$n2$$p100013$$tPlant phenomics$$v7$$x2097-0374$$y2025
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