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@MASTERSTHESIS{Koneru:1026346,
      author       = {Koneru, Mehala},
      othercontributors = {Muller, Onno and Siegmann, Bastian and Kooistra, lammert},
      title        = {{C}omparative and diurnal analysis of sun-induces
                      fluorescence as a water stress indicator in arable crops},
      school       = {Wageningen University},
      type         = {Masterarbeit},
      reportid     = {FZJ-2024-03388, GIRS-2024-32},
      pages        = {33 p},
      year         = {2024},
      note         = {Masterarbeit, Wageningen University, 2024},
      abstract     = {Detection of stress effects in crops is crucial for
                      sustainable agriculturalpractices. Sun-induced fluorescence
                      is a promising tool for monitoring thephotosynthetic
                      activity of plants and crop health and has advantages
                      overtraditional vegetation indices to be sensitive to plant
                      changes. In this study,we use high-resolution spectral data
                      from the Hyplant airborne sensor to detectwater stress in
                      arable crops and compare SIF over the vegetation indices-
                      NDVI and PRI to determine sensitivity to changes in plant
                      environmentalconditions. We analyzed SIF variations across
                      different crop varieties andtreatments spatially and
                      diurnally to detect water stress among plots. Weobserved
                      higher SIF values in the summer wheat crop compared to
                      winterwheat and beans wheat mixture, indicating better crop
                      health and photosyntheticactivity. Lower SIF values are
                      associated with stress conditions. Diurnalanalysis of SIF
                      showed that the peak values are at midday relating to
                      lightintensity and rising temperature and decreasing in the
                      afternoon. ComparingSIF with NDVI and PRI showed that SIF is
                      more sensitive to plant responsesthan vegetation indices.
                      This study highlights the potential of using SIF as atool
                      for the detection of water stress. In future research,
                      integrating validationdata to characterize stress in plants
                      would be more effective in monitoring andmanagement in
                      agriculture.},
      cin          = {IBG-2},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2173},
      typ          = {PUB:(DE-HGF)19},
      doi          = {10.34734/FZJ-2024-03388},
      url          = {https://juser.fz-juelich.de/record/1026346},
}