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Distributed Management of Scientific Workflows for High-Throughput Plant Phenotyping

Abstract : High-throughput phenotyping platforms allow acquisition of quantitative data on thousands of plants required for genetic analyses in well-controlled environmental conditions. However, analysing these massive datasets and reproducing computational experiments require the use of new computational infrastructure and algorithms to scale.
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https://hal.inria.fr/hal-01948568
Contributor : Christophe Pradal Connect in order to contact the contributor
Submitted on : Monday, December 10, 2018 - 3:10:33 PM
Last modification on : Tuesday, October 25, 2022 - 4:21:15 PM
Long-term archiving on: : Monday, March 11, 2019 - 2:42:23 PM

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EN113-web pages 36, 37.pdf
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  • HAL Id : hal-01948568, version 1
  • PRODINRA : 430157
  • WOS : 000430463800024

Citation

Christophe Pradal, Sarah Cohen-Boulakia, Gaëtan Heidsieck, Esther Pacitti, Francois Tardieu, et al.. Distributed Management of Scientific Workflows for High-Throughput Plant Phenotyping. ERCIM News, 2018, Smart Farming, pp.36-37. ⟨hal-01948568⟩

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