Distributed plant phenotyping data integration: challenges and feedback from French and international consortiums - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Conference Papers Year : 2017

Distributed plant phenotyping data integration: challenges and feedback from French and international consortiums

Cyril Pommier

Abstract

Modern Big data approaches are organized following four Vs: Volume, Veracity, Velocity and Variety. This latter one describe very well plant sciences and especially plant phenotyping. Therefore, integrating and linking data needs not only technical solutions but also data management best practices. We will see what are the existing data standards, how they have been applied in several platforms and projects involving INRA and what technologies have been used for their implementation. This will be illustrated by examples of Wheat phenotyping networks, high throughput phenotyping platforms and data standards from the Wheat Initiative WheatIS.
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Dates and versions

hal-02788362 , version 1 (05-06-2020)

Identifiers

  • HAL Id : hal-02788362 , version 1
  • PRODINRA : 432882

Cite

Cyril Pommier. Distributed plant phenotyping data integration: challenges and feedback from French and international consortiums. Data Scientist Big Data Plant Breeding, Wageningen University and Research Centre (WUR). NLD., Dec 2017, Wageningen, Netherlands. ⟨hal-02788362⟩
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