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Unlocking the potential of plant phenotyping data through integration and data-driven approaches

Frederik Coppens (UGent) , Nathalie Wuyts (UGent) , Dirk Inzé (UGent) and Stijn Dhondt (UGent)
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Biotechnology for a sustainable economy (Bio-Economy)
Abstract
Plant phenotyping has emerged as a comprehensive field of research as the result of significant advancements in the application of imaging sensors for high-throughput data collection. The flip side is the risk of drowning in the massive amounts of data generated by automated phenotyping systems. Currently, the major challenge lies in data management, on the level of data annotation and proper metadata collection, and in progressing towards synergism across data collection and analyses. Progress in data analyses include efforts towards the integration of phenotypic and -omics data resources for bridging the phenotype–genotype gap and obtaining in-depth insights into fundamental plant processes.

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Citation

Please use this url to cite or link to this publication:

Chicago
Coppens, Frederik, Nathalie Wuyts, Dirk Inzé, and Stijn Dhondt. 2017. “Unlocking the Potential of Plant Phenotyping Data Through Integration and Data-driven Approaches.” Ed. Lars Kuepfer and Tobias Bollenbach. Current Opinion in Systems Biology 4: 58–63.
APA
Coppens, Frederik, Wuyts, N., Inzé, D., & Dhondt, S. (2017). Unlocking the potential of plant phenotyping data through integration and data-driven approaches. (L. Kuepfer & T. Bollenbach, Eds.)CURRENT OPINION IN SYSTEMS BIOLOGY, 4, 58–63.
Vancouver
1.
Coppens F, Wuyts N, Inzé D, Dhondt S. Unlocking the potential of plant phenotyping data through integration and data-driven approaches. Kuepfer L, Bollenbach T, editors. CURRENT OPINION IN SYSTEMS BIOLOGY. 2017;4:58–63.
MLA
Coppens, Frederik, Nathalie Wuyts, Dirk Inzé, et al. “Unlocking the Potential of Plant Phenotyping Data Through Integration and Data-driven Approaches.” Ed. Lars Kuepfer & Tobias Bollenbach. CURRENT OPINION IN SYSTEMS BIOLOGY 4 (2017): 58–63. Print.
@article{8527434,
  abstract     = {Plant phenotyping has emerged as a comprehensive field of research as the result of significant advancements in the application of imaging sensors for high-throughput data collection. The flip side is the risk of drowning in the massive amounts of data generated by automated phenotyping systems. Currently, the major challenge lies in data management, on the level of data annotation and proper metadata collection, and in progressing towards synergism across data collection and analyses. Progress in data analyses include efforts towards the integration of phenotypic and -omics data resources for bridging the phenotype--genotype gap and obtaining in-depth insights into fundamental plant processes.},
  author       = {Coppens, Frederik and Wuyts, Nathalie and Inz{\'e}, Dirk and Dhondt, Stijn},
  editor       = {Kuepfer, Lars and Bollenbach, Tobias},
  issn         = {2452-3100},
  journal      = {CURRENT OPINION IN SYSTEMS BIOLOGY},
  language     = {eng},
  pages        = {58--63},
  title        = {Unlocking the potential of plant phenotyping data through integration and data-driven approaches},
  url          = {http://dx.doi.org/10.1016/j.coisb.2017.07.002},
  volume       = {4},
  year         = {2017},
}

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