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@ARTICLE{Minervini:276443,
      author       = {Minervini, Massimo and Scharr, Hanno and Tsaftaris,
                      Sotirios A.},
      title        = {{I}mage {A}nalysis: {T}he {N}ew {B}ottleneck in {P}lant
                      {P}henotyping},
      journal      = {IEEE signal processing magazine},
      volume       = {32},
      number       = {4},
      issn         = {0740-7467},
      address      = {New York, NY},
      publisher    = {IEEE},
      reportid     = {FZJ-2015-06882},
      pages        = {126 - 131},
      year         = {2015},
      abstract     = {Plant phenotyping is the identification of effects on the
                      phenotype (i.e., the plant appearance and performance) as a
                      result of genotype differences (i.e., differences in the
                      genetic code) and the environmental conditions to which a
                      plant has been exposed [1]?[3]. According to the Food and
                      Agriculture Organization of the United Nations, large-scale
                      experiments in plant phenotyping are a key factor in meeting
                      the agricultural needs of the future to feed the world and
                      provide biomass for energy, while using less water, land,
                      and fertilizer under a constantly evolving environment due
                      to climate change. Working on model plants (such as
                      Arabidopsis), combined with remarkable advances in
                      genotyping, has revolutionized our understanding of biology
                      but has accelerated the need for precision and automation in
                      phenotyping, favoring approaches that provide quantifiable
                      phenotypic information that could be better used to link and
                      find associations in the genotype [4]. While early on, the
                      collection of phenotypes was manual, currently noninvasive,
                      imaging-based methods are increasingly being utilized [5],
                      [6]. However, the rate at which phenotypes are extracted in
                      the field or in the lab is not matching the speed of
                      genotyping and is creating a bottleneck [1].},
      cin          = {IBG-2},
      ddc          = {620},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {582 - Plant Science (POF3-582)},
      pid          = {G:(DE-HGF)POF3-582},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000356539400017},
      doi          = {10.1109/MSP.2015.2405111},
      url          = {https://juser.fz-juelich.de/record/276443},
}