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@ARTICLE{Lobet:836060,
      author       = {Lobet, Guillaume},
      title        = {{I}mage {A}nalysis in {P}lant {S}ciences: {P}ublish {T}hen
                      {P}erish},
      journal      = {Trends in plant science},
      volume       = {22},
      number       = {7},
      issn         = {1360-1385},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2017-05184},
      pages        = {559 - 566},
      year         = {2017},
      abstract     = {Image analysis has become a powerful technique for most
                      plant scientists. In recent years dozens of image analysis
                      tools have been published in plant science journals. These
                      tools cover the full spectrum of plant scales, from single
                      cells to organs and canopies. However, the field of plant
                      image analysis remains in its infancy. It still has to
                      overcome important challenges, such as the lack of robust
                      validation practices or the absence of long-term support. In
                      this Opinion article, I: (i) present the current state of
                      the field, based on data from the plant-image-analysis.org
                      database; (ii) identify the challenges faced by its
                      community; and (iii) propose workable ways of improvement.},
      cin          = {IBG-3},
      ddc          = {570},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255)},
      pid          = {G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000403826100005},
      pubmed       = {pmid:28571940},
      doi          = {10.1016/j.tplants.2017.05.002},
      url          = {https://juser.fz-juelich.de/record/836060},
}