% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Thomas:852606,
      author       = {Thomas, Stefan and Behmann, Jan and Steier, Angelina and
                      Kraska, Thorsten and Muller, Onno and Rascher, Uwe and
                      Mahlein, Anne-Katrin},
      title        = {{Q}uantitative assessment of disease severity and rating of
                      barley cultivars based on hyperspectral imaging in a
                      non-invasive, automated phenotyping platform},
      journal      = {Plant methods},
      volume       = {14},
      number       = {1},
      issn         = {1746-4811},
      address      = {London},
      publisher    = {BioMed Central},
      reportid     = {FZJ-2018-05510},
      pages        = {45},
      year         = {2018},
      abstract     = {BackgroundPhenotyping is a bottleneck for the development
                      of new plant cultivars. This study introduces a new
                      hyperspectral phenotyping system, which combines the high
                      throughput of canopy scale measurements with the advantages
                      of high spatial resolution and a controlled measurement
                      environment. Furthermore, the measured barley canopies were
                      grown in large containers (called Mini-Plots), which allow
                      plants to develop field-like phenotypes in greenhouse
                      experiments, without being hindered by pot size.ResultsSix
                      barley cultivars have been investigated via hyperspectral
                      imaging up to 30 days after inoculation with powdery mildew.
                      With a high spatial resolution and stable measurement
                      conditions, it was possible to automatically quantify
                      powdery mildew symptoms through a combination of Simplex
                      Volume Maximization and Support Vector Machines. Detection
                      was feasible as soon as the first symptoms were visible for
                      the human eye during manual rating. An accurate assessment
                      of the disease severity for all cultivars at each
                      measurement day over the course of the experiment was
                      realized. Furthermore, powdery mildew resistance based
                      necrosis of one cultivar was detected as well.ConclusionThe
                      hyperspectral phenotyping system combines the advantages of
                      field based canopy level measurement systems (high
                      throughput, automatization, low manual workload) with those
                      of laboratory based leaf level measurement systems (high
                      spatial resolution, controlled environment, stable
                      conditions for time series measurements). This allows an
                      accurate and objective disease severity assessment without
                      the need for trained experts, who perform visual rating, as
                      well as detection of disease symptoms in early stages.
                      Therefore, it is a promising tool for plant resistance
                      breeding.},
      cin          = {IBG-2},
      ddc          = {580},
      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:29930695},
      UT           = {WOS:000434911900001},
      doi          = {10.1186/s13007-018-0313-8},
      url          = {https://juser.fz-juelich.de/record/852606},
}