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@ARTICLE{Behmann:845665,
      author       = {Behmann, Jan and Acebron, Kelvin and Emin, Dzhaner and
                      Bennertz, Simon and Matsubara, Shizue and Thomas, Stefan and
                      Bohnenkamp, David and Kuska, Matheus and Jussila, Jouni and
                      Salo, Harri and Mahlein, Anne-Katrin and Rascher, Uwe},
      title        = {{S}pecim {IQ}: {E}valuation of a {N}ew, {M}iniaturized
                      {H}andheld {H}yperspectral {C}amera and {I}ts {A}pplication
                      for {P}lant {P}henotyping and {D}isease {D}etection},
      journal      = {Sensors},
      volume       = {18},
      number       = {2},
      issn         = {1424-8220},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {FZJ-2018-02878},
      pages        = {441 -},
      year         = {2018},
      abstract     = {Hyperspectral imaging sensors are promising tools for
                      monitoring crop plants or vegetation in different
                      environments. Information on physiology, architecture or
                      biochemistry of plants can be assessed non-invasively and on
                      different scales. For instance, hyperspectral sensors are
                      implemented for stress detection in plant phenotyping
                      processes or in precision agriculture. Up to date, a variety
                      of non-imaging and imaging hyperspectral sensors is
                      available. The measuring process and the handling of most of
                      these sensors is rather complex. Thus, during the last years
                      the demand for sensors with easy user operability arose. The
                      present study introduces the novel hyperspectral camera
                      Specim IQ from Specim (Oulu, Finland). The Specim IQ is a
                      handheld push broom system with integrated operating system
                      and controls. Basic data handling and data analysis
                      processes, such as pre-processing and classification
                      routines are implemented within the camera software. This
                      study provides an introduction into the measurement pipeline
                      of the Specim IQ as well as a radiometric performance
                      comparison with a well-established hyperspectral imager.
                      Case studies for the detection of powdery mildew on barley
                      at the canopy scale and the spectral characterization of
                      Arabidopsis thaliana mutants grown under stressed and
                      non-stressed conditions are presented},
      cin          = {IBG-2},
      ddc          = {620},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {582 - Plant Science (POF3-582)},
      pid          = {G:(DE-HGF)POF3-582},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:29393921},
      UT           = {WOS:000427544000124},
      doi          = {10.3390/s18020441},
      url          = {https://juser.fz-juelich.de/record/845665},
}