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Chapitre D'ouvrage Année : 2020

Improving data identification and tagging for more effective decision making in agriculture

Résumé

Data integration, data analytics and decision support methods can help increase agriculture challenges such as climate change adaptation or food security. In this context, smart data acquisition systems, interoperable information systems and frameworks for data structuring are required. In this chapter we describe methods for data identification and provide some recommendations. We also describe how to enrich data with semantics and a way to tag data with the relevant ontology. We illustrate the proposed approach in a case of high-throughput plant phenotyping.
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Dates et versions

hal-02164149 , version 1 (11-05-2020)

Identifiants

  • HAL Id : hal-02164149 , version 1
  • PRODINRA : 475083

Citer

Pascal Neveu, Romain David, Clement Jonquet. Improving data identification and tagging for more effective decision making in agriculture. Leisa Armstrong. Improving Data Management and Decision Support Systems in Agriculture, 85, Burleigh Dodds Science Publishing, 2020, Series in Agricultural Science, 978-1-78676-340-2. ⟨hal-02164149⟩
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