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@ARTICLE{MllerLinow:859709,
      author       = {Müller-Linow, Mark and Wilhelm, Jens and Briese, Christoph
                      and Wojciechowski, Tobias and Schurr, Ulrich and Fiorani,
                      Fabio},
      title        = {{P}lant {S}creen {M}obile: an open-source mobile device app
                      for plant trait analysisant},
      journal      = {Plant methods},
      volume       = {15},
      number       = {1},
      issn         = {1746-4811},
      address      = {London},
      publisher    = {BioMed Central},
      reportid     = {FZJ-2019-00546},
      pages        = {2},
      year         = {2019},
      abstract     = {BackgroundThe development of leaf area is one of the
                      fundamental variables to quantify plant growth and
                      physiological function and is therefore widely used to
                      characterize genotypes and their interaction with the
                      environment. To date, analysis of leaf area often requires
                      elaborate and destructive measurements or imaging-based
                      methods accompanied by automation that may result in costly
                      solutions. Consequently in recent years there is an
                      increasing trend towards simple and affordable sensor
                      solutions and methodologies. A major focus is currently on
                      harnessing the potential of applications developed for
                      smartphones that provide access to analysis tools to a wide
                      user basis. However, most existing applications entail
                      significant manual effort during data acquisition and
                      analysis.ResultsWith the development of Plant Screen Mobile
                      we provide a suitable smartphone solution for estimating
                      digital proxies of leaf area and biomass in various imaging
                      scenarios in the lab, greenhouse and in the field. To
                      distinguish between plant tissue and background the core of
                      the application comprises different classification
                      approaches that can be parametrized by users delivering
                      results on-the-fly. We demonstrate the practical
                      applications of computing projected leaf area based on two
                      case studies with Eragrostis and Musa plants. These studies
                      showed highly significant correlations with destructive
                      measurements of leaf area and biomass from both ground truth
                      measurements and estimations from well-established screening
                      systems.},
      cin          = {IBG-2},
      ddc          = {570},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {582 - Plant Science (POF3-582) / DPPN - Deutsches Pflanzen
                      Phänotypisierungsnetzwerk (BMBF-031A053A)},
      pid          = {G:(DE-HGF)POF3-582 / G:(DE-Juel1)BMBF-031A053A},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:30651749},
      UT           = {WOS:000455512500001},
      doi          = {10.1186/s13007-019-0386-z},
      url          = {https://juser.fz-juelich.de/record/859709},
}