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@INPROCEEDINGS{Sydoruk:867694,
      author       = {Sydoruk, Viktor},
      title        = {{S}tudy of {S}pectra with {L}ow-{Q}uality {R}esonance
                      {P}eaks},
      reportid     = {FZJ-2019-06310},
      year         = {2019},
      abstract     = {A Python-based software for the phenoCAVe family of
                      resonators for plants investigations is developed to
                      automatically extract both the center frequency and the
                      quality factor of the main resonance peak, i.e., of the
                      lowest transversal-magnetic mode TM010, at different scan
                      positions. Due to the specific design of the cavities, which
                      includes large openings on the top and on the bottom of the
                      resonators, the main peak even in the unloaded case (when no
                      object is measured) has a sufficiently small quality factor
                      (<350), which leads to the large influence of the higher
                      modes on the reliability of the extracted data.
                      Additionally, the repeated movements of the resonators and
                      long cables usage may alter the cable influence. Moreover,
                      continuous movements during the scans as well as a finite
                      time of spectra sweep give a distorted peak, especially at
                      the borders of large objects, such as plant pots, i.e., when
                      the objects are starting to pass through a resonator. All
                      these problems and more are taken into account in the
                      automatic data analysis software, which allows to obtain
                      reliable responses from noninvasive scans of the
                      investigated plants over the whole period of their growth
                      and further usage of these responses to calculate the
                      important parameters for the plant growth, such as water
                      content, dry weight, biomass, pot water content etc. Here,
                      the whole process from the analysis of distorted spectra to
                      the evaluation of the suitable parameters for plant growth
                      is demonstrated. Such an analysis can be used not only for
                      plant phenotyping platforms but also in various physical
                      platforms supposing low-quality spectra analysis and
                      dielectric studies of materials.},
      month         = {Jun},
      date          = {2019-06-02},
      organization  = {The Fourth International Conference on
                       Advances in Signal, Image and Video
                       Processing, Athens (Greece), 2 Jun 2019
                       - 6 Jun 2019},
      subtyp        = {Plenary/Keynote},
      cin          = {IBG-2},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {582 - Plant Science (POF3-582)},
      pid          = {G:(DE-HGF)POF3-582},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/867694},
}