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@INPROCEEDINGS{He:1044233,
      author       = {He, F. and Grundmann, L. and Kuhn, A. J. and Müller-Linow,
                      M.},
      title        = {{A}utomatic evaluation of {A}rnica flower development for
                      optimized active ingredient yields},
      number       = {1433},
      issn         = {0567-7572},
      address      = {The Hague},
      reportid     = {FZJ-2025-03121},
      isbn         = {978-94-62614-32-1},
      series       = {Acta horticulturae},
      pages        = {47 - 56},
      year         = {2025},
      comment      = {International Symposium on Robotics, Mechanization and
                      Smart Horticulture},
      booktitle     = {International Symposium on Robotics,
                       Mechanization and Smart Horticulture},
      abstract     = {In biogenic value creation, medicinal plants are playing an
                      important role including the commercial cultivation to meet
                      the growing global demand. This opens up new opportunities
                      to improve harvest quantities through breeding, cultivation
                      management and harvesting techniques. An important aspect is
                      the determination of optimal harvest times, which depend on
                      the weather conditions, the state of the plant organ with
                      regard to the harvesting process and the content of the
                      active ingredients, which fluctuates over time. In this
                      study, we used the medicinal plant Arnica montana ‘Arbo’
                      to examine the aspect of target compound yield of helenalin,
                      dihydrohelenalin and their esters depending on the life
                      cycle of the flower, in order to develop methods for
                      estimating optimal harvest time windows. A neural network
                      was trained to classify seven stages from time-lapse images
                      in order to track the development of each flower stage. To
                      get typical content values, Arnica plants were grown in the
                      field and amounts of the two target compound classes were
                      determined for each flower type. By combining both outcomes,
                      it was possible to calculate the time course of the total
                      amount of active compounds and thereby determine better
                      harvest time windows. This method is interesting also for
                      other crops where external features can be used as a proxy
                      for active compound concentrations.},
      month         = {May},
      date          = {2024-05-12},
      organization  = {V European Horticultural Congress,
                       Bucharest (Romania), 12 May 2024 - 16
                       May 2024},
      cin          = {IBG-2},
      ddc          = {640},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {2171 - Biological and environmental resources for
                      sustainable use (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2171},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      doi          = {10.17660/ActaHortic.2025.1433.6},
      url          = {https://juser.fz-juelich.de/record/1044233},
}