% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Pieruschka:1028641,
      author       = {Pieruschka, Roland and Gatzke, Simone and Gillhaussen,
                      Philipp von and Fahrner, Sven and Schurr, Ulrich},
      title        = {{T}owards an integrated plant phenotyping – technology,
                      data, community},
      journal      = {Proceedings of the IEEE},
      volume       = {1},
      issn         = {0018-9219},
      address      = {New York, NY [u.a.]},
      publisher    = {Inst.},
      reportid     = {FZJ-2024-04708},
      pages        = {36-40},
      year         = {2023},
      abstract     = {Plant production is central in agriculture, food systems,
                      and in bio-economy applications, which is essential to
                      address future grand challenges related to growing
                      population, climate change, scarcity of agricultural land
                      and natural resources, loss of biodiversity etc. Integrated
                      solutions and new technologies are needed to improve plant
                      production, based on knowledge-driven innovation to the
                      farming sector, agricultural and seed industries. Therein,
                      the analysis of crop performance in high throughput with
                      respect to structural properties, functional properties,
                      composition and the plant interaction with the environment
                      is key for the exploitation of crop genetic diversity
                      required for the enhancement of plant productivity and
                      progress in plant breeding and agricultural management. This
                      requires substantial and concerted action to avoid costly
                      parallel development of similar facilities but joint
                      establishment and sharing of hardware and software solutions
                      to increase the availability of phenotyping facilities for
                      diverse users andaddress the phenotyping bottleneck on the
                      national level in different countries, on European level and
                      internationally.},
      month         = {Nov},
      date          = {2023-11-06},
      organization  = {2023 IEEE International Workshop on
                       Metrology for Agriculture and Forestry
                       (MetroAgriFor), Pisa (Italy), 6 Nov
                       2023 - 8 Nov 2023},
      cin          = {IBG-2},
      ddc          = {620},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {2171 - Biological and environmental resources for
                      sustainable use (POF4-217) / Deutsches Pflanzen
                      Phänotypisierungs Netzwerk (DPPN, Teilprojekt A) (031A053A)
                      / AI4LIFE - Artificial Intelligence for Image Data Analysis
                      in the Life Sciences (101057970) / EMPHASIS-GO - Bringing
                      EMPHASIS to operation: European Infrastructure for
                      multi-scale Plant Phenomics and Simulation for food security
                      in a changing climate (101079772) / AgroServ - Integrated
                      SERvices supporting a sustainable AGROecological transition
                      (101058020)},
      pid          = {G:(DE-HGF)POF4-2171 / G:(BMBF)031A053A /
                      G:(EU-Grant)101057970 / G:(EU-Grant)101079772 /
                      G:(EU-Grant)101058020},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)16},
      UT           = {WOS:001174612900007},
      doi          = {10.1109/MetroAgriFor58484.2023.10424266},
      url          = {https://juser.fz-juelich.de/record/1028641},
}