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Distributed management of scientific workflows for high-throughput plant phenotyping

Pradal Christophe, Cohen-Boulakia Sarah, Heidsieck Gaetan, Pacitti Esther, Tardieu François, Valduriez Patrick. 2018. Distributed management of scientific workflows for high-throughput plant phenotyping. ERCIM News (113), n.spéc. Smart Farming : pp. 36-37.

Journal article ; Article de synthèse ; Article de revue à comité de lecture Revue en libre accès total
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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.

Mots-clés libres : Phenotyping, Smart farming, Distributed computing, Big data

Classification Agris : F30 - Plant genetics and breeding
F62 - Plant physiology - Growth and development
U10 - Mathematical and statistical methods

Champ stratégique Cirad : Axe 6 (2014-2018) - Sociétés, natures et territoires

Auteurs et affiliations

  • Pradal Christophe, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0002-2555-761X - auteur correspondant
  • Cohen-Boulakia Sarah, Université Paris-Saclay (FRA)
  • Heidsieck Gaetan, INRIA (FRA)
  • Pacitti Esther, Université de Montpellier (FRA)
  • Tardieu François, INRA (FRA)
  • Valduriez Patrick, INRIA (FRA) - auteur correspondant

Source : Cirad-Agritrop (https://agritrop.cirad.fr/587657/)

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