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@TECHREPORT{Yildiz:1047611,
      author       = {Yildiz, Erenus},
      othercontributors = {Scharr, Hanno and Wojciechowski, Tobias and Boeckem, Vera},
      title        = {3{D} {R}econstruction of {C}assava {R}oots {U}sing
                      {COLMAP}},
      reportid     = {FZJ-2025-04413},
      pages        = {46p},
      year         = {2025},
      abstract     = {Cassava (Manihot esculenta) is an important crop for food
                      security in tropical and subtropical regions, with roots
                      containing up to $85\%$ starch on a dry weight basis [25].
                      Understanding root system architecture is essential for
                      breeding programs aimed at improving yield and stress
                      tolerance [1]. Traditional 2D imaging methods for root
                      phenotyping have limitations in capturing threedimensional
                      root structures, leading to incomplete trait measurements
                      [28, 8]. While advanced 3D methods like DIRT/3D 2.0 exist
                      [14], they require specialized equipment that may not be
                      accessible to all research facilities. This laboratory work
                      implemented a cost-effective 3D reconstruction pipeline
                      using standard DSLR cameras and open-source software (REMBG,
                      COLMAP) to extract morphological traits from cassava roots.
                      The pipeline combined deep learning-based segmentation with
                      structure from motion techniques to analyze 1039 cassava
                      root system acquisitions from plants aged 5-10 weeks
                      collected at the Rayong Field Crops Research Center in
                      Thailand, achieving $62\%$ reconstruction success (644
                      successfully reconstructed roots).},
      cin          = {IAS-8},
      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)15},
      doi          = {10.34734/FZJ-2025-04413},
      url          = {https://juser.fz-juelich.de/record/1047611},
}