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@ARTICLE{Baker:1028695,
      author       = {Baker, Dirk N. and Selzner, Tobias and Göbbert, Jens
                      Henrik and Scharr, Hanno and Riedel, Morris and Hvannberg,
                      Ebba Þóra and Schnepf, Andrea and Zielasko, Daniel},
      title        = {{VR}oot: {A}n {XR}-{B}ased {A}pplication for {M}anual
                      {R}oot {S}ystem {A}rchitecture {R}econstruction},
      journal      = {Plant phenomics},
      volume       = {7},
      number       = {2},
      issn         = {2097-0374},
      address      = {Washington, D.C.},
      publisher    = {American Association for the Advancement of Science},
      reportid     = {FZJ-2024-04752},
      pages        = {100013},
      year         = {2025},
      abstract     = {This 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.},
      cin          = {IAS-8},
      ddc          = {580},
      cid          = {I:(DE-Juel1)IAS-8-20210421},
      pnm          = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
                      and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5112},
      typ          = {PUB:(DE-HGF)16},
      doi          = {https://doi.org/10.1101/2024.06.13.598253},
      url          = {https://juser.fz-juelich.de/record/1028695},
}