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@ARTICLE{Delory:856472,
      author       = {Delory, Benjamin M. and Li, Mao and Topp, Christopher N.
                      and Lobet, Guillaume},
      title        = {archi{DART} v3.0: {A} new data analysis pipeline allowing
                      the topological analysis of plant root systems},
      journal      = {F1000Research},
      volume       = {7},
      issn         = {2046-1402},
      address      = {London},
      publisher    = {F1000 Research Ltd},
      reportid     = {FZJ-2018-05866},
      pages        = {22 -},
      year         = {2018},
      abstract     = {Quantifying plant morphology is a very challenging task
                      that requires methods able to capture the geometry and
                      topology of plant organs at various spatial scales.
                      Recently, the use of persistent homology as a mathematical
                      framework to quantify plant morphology has been successfully
                      demonstrated for leaves, shoots, and root systems. In this
                      paper, we present a new data analysis pipeline implemented
                      in the R package archiDART to analyse root system
                      architectures using persistent homology. In addition, we
                      also show that both geometric and topological descriptors
                      are necessary to accurately compare root systems and assess
                      their natural complexity},
      cin          = {IBG-3},
      ddc          = {610},
      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},
      pubmed       = {pmid:29636899},
      doi          = {10.12688/f1000research.13541.1},
      url          = {https://juser.fz-juelich.de/record/856472},
}