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@INPROCEEDINGS{Penzel:1021062,
      author       = {Penzel, Niklas and Kierdorf, Jana and Roscher, Ribana and
                      Denzler, Joachim},
      title        = {{A}nalyzing the {B}ehavior of {C}auliflower
                      {H}arvest-{R}eadiness {M}odels by {I}nvestigating {F}eature
                      {R}elevances},
      publisher    = {IEEE},
      reportid     = {FZJ-2024-00517},
      pages        = {-},
      year         = {2023},
      month         = {Oct},
      date          = {2023-10-02},
      organization  = {2023 IEEE/CVF International Conference
                       on Computer Vision Workshops (ICCVW),
                       Paris (France), 2 Oct 2023 - 6 Oct
                       2023},
      cin          = {IBG-2},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {2171 - Biological and environmental resources for
                      sustainable use (POF4-217) / DFG project 390732324 - EXC
                      2070: PhenoRob - Robotik und Phänotypisierung für
                      Nachhaltige Nutzpflanzenproduktion (390732324) / DFG project
                      504991777 - Erkennung landwirtschaftlicher
                      Technologieadoption und -nutzung mithilfe von
                      Satellitendaten und self-supervised Deep Learning.
                      (504991777)},
      pid          = {G:(DE-HGF)POF4-2171 / G:(GEPRIS)390732324 /
                      G:(GEPRIS)504991777},
      typ          = {PUB:(DE-HGF)8},
      UT           = {WOS:001156680300058},
      doi          = {10.1109/ICCVW60793.2023.00064},
      url          = {https://juser.fz-juelich.de/record/1021062},
}