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@INPROCEEDINGS{Grygosch:1050250,
      author       = {Grygosch, Lars},
      title        = {[meta]data for non-invasive field phenotyping},
      reportid     = {FZJ-2026-00062},
      year         = {2025},
      abstract     = {Recent advancements in non-invasive sensor systems have
                      revolutionized plant phenotyping field studies. Proximal
                      sensing technologies along with remote sensingfrom
                      satellites, aircrafts, and UAVs, now enable non-destructive
                      measurements at different scales under realistic
                      environmental conditions. These technologies,however,
                      produce vast and complex datasets, making sophisticated data
                      management strategies critical for enhancing the
                      findability, accessibility, interoperability,and reusability
                      (FAIR) of data. To address this, we are developing a
                      benchmark dataset that exemplifies typical field phenotypic
                      and remote sensing data, supportedby templates and
                      guidelines for effective data management.},
      month         = {Sep},
      date          = {2025-09-16},
      organization  = {European Plant Phenotyping Symposium,
                       Bonn (Germany), 16 Sep 2025 - 19 Sep
                       2025},
      subtyp        = {Plenary/Keynote},
      cin          = {IBG-2},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217) / DFG project G:(GEPRIS)501899475 - FAIRe
                      Dateninfrastruktur für die Agrosystemforschung (501899475)},
      pid          = {G:(DE-HGF)POF4-2173 / G:(GEPRIS)501899475},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/1050250},
}