PHIS, a plant science ontology-driven Phenotyping Hybrid Information System

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Neveu, Pascal | Tireau, Anne | Hilgert, Nadine | Negre, Vincent | Mineau-Cesari, Jonathan | Brichet, Nicolas | Chapuis, Romain | Sanchez, Isabelle | Pommier, Cyril | Charnomordic, Brigitte | Vidal, Morgane | Charleroy, Arnaud | Heinrich, Guilhem | Boizet, Alice | Alary, Pierre-Etienne | Tardieu, Francois | Cabrera Bosquet, Llorenç

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Poster illustrant la publication Neveu et al. 2018 https://doi.org/10.1111/nph.15385. International audience. Plant phenomics datasets are unprecedented resources for identifying and testing novel mechanisms and models. These datasets need to be reusable to the scientific community. Their analysis requires the understanding of relevant information on thousands of plants, sensors and events. The open-source Phenotyping Hybrid Information System (PHIS) is proposed for the smart management of plant phenotyping experimental data. It allows the unambiguous identification and management of all agronomical objects and traits in an experiment and establishes their relations thanks to semantics resources such as reference ontologies. PHIS deals with various experimental context, e.g. field and greenhouse conditions.

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