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@INPROCEEDINGS{Roscher:1035043,
      author       = {Roscher, Ribana},
      title        = {{B}eyond {H}eatmapping: {O}n the {B}enefit of {E}xplainable
                      {M}achine {L}earning for the {A}gricultural and
                      {E}nvironmental {S}ciences},
      reportid     = {FZJ-2025-00139},
      year         = {2024},
      organization  = {Workshop Machine Learning and Data
                       Management for Earth Observation,
                       (Germany)},
      subtyp        = {Invited},
      cin          = {IBG-2},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {2171 - Biological and environmental resources for
                      sustainable use (POF4-217) / 2173 - Agro-biogeosystems:
                      controls, feedbacks and impact (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2171 / G:(DE-HGF)POF4-2173},
      typ          = {PUB:(DE-HGF)31},
      url          = {https://juser.fz-juelich.de/record/1035043},
}