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@INPROCEEDINGS{MllerLinow:825732,
      author       = {Müller-Linow, Mark and Fiorani, Fabio and Rascher, Uwe},
      collaboration = {Pinto, Francisco and Olbertz, Luka Alexandra},
      title        = {3d imaging approaches in quantitative plant phenotyping:
                      application scenarios in the lab and in the field},
      reportid     = {FZJ-2017-00044},
      year         = {2016},
      abstract     = {In plant phenotyping 3-d imaging approaches are
                      increasingly used to study the impact of genetic variability
                      and environmental factors that influence leaf angles and
                      light interception resulting in varying canopy architecture.
                      The non-invasive acquisition of 3-d structure of different
                      plant organs such as leaves, roots, fruits or seeds requires
                      the employment of different methodological approaches. Apart
                      from active methods, which make use of an artificial light
                      source, e.g. Light Detection and Ranging (LIDAR), Light
                      Sectioning or Structured Light, camera-based methods are
                      widely used and substantially differ in terms of image data
                      processing. Here we give an overview on 3-d imaging
                      approaches, which have been developed at the Institute of
                      Biosciences (IBG-2, Forschungszentrum Juelich, Germany) with
                      a focus on the development and benchmarking of measurements
                      as part of the two German project clusters Crop.Sense.net
                      (www.cropsense.uni-bonn.de) and the German Plant Phenotyping
                      Network (DPPN; www.dppn.de). We will demonstrate the use of
                      different sensor techniques, ranging from Structured Light
                      methods in the lab up to light sectioning approaches and
                      stereo imaging in different applications scenarios in the
                      lab and in the field thereby covering the scale of small
                      plant populations to smaller scales of single plants. Using
                      structured light we were able to resolve and quantitatively
                      characterize single leaves up to a size of 2 mm. We will
                      highlight the application of multi-camera setups under
                      natural environmental conditions at the scale of
                      experimental plots (up to 2 sqm) along with new image
                      processing pipelines to estimate leaf area and leaf angle
                      distribution in sugar beet experiments. Here plants were
                      analyzed on the base of individual leaf 3-d models from
                      segmented stereo images (Mueller-Linow et al., Plant Methods
                      2015).},
      month         = {Dec},
      date          = {2016-12-13},
      organization  = {4th Plant Phenotyping Symposium,
                       Cimmyt, Texcoco (Mexico), 13 Dec 2016 -
                       15 Dec 2016},
      subtyp        = {After Call},
      cin          = {IBG-2},
      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)6},
      url          = {https://juser.fz-juelich.de/record/825732},
}