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The Informatics axe brings together methodological research in data management and analysis, knowledge engineering, graphs structures, and constraint programming all applied in agronomy / agriculture and the environment. Our work in data science aims to develop interpretable approaches in order to promote the understanding of phenomena and decision support. This work concerns three privileged application areas: high throughput plant phenotyping, digital agriculture and the vine and wine industry. These areas are both promising and representative of Montpellier research ecosystem. They are also part of a priority of INRAE's MathNum department: representation and extraction of knowledge, information systems.

In more detail, we are working on the integration, structuring and exploitation of masses of heterogeneous data by relying on semantic knowledge models (ontologies, thesaurus) and on Semantic Web and Web of Data technologies. We have contributions in the field of data linking or services for and based on ontologies (involvement in the AgroPortal platform). These methods for dynamic publication of FAIR data allowed to build the OpenSILEX software suite deployed in many instances, including with PHIS, for phenotyping. In constraint programming, we are interested in solving complex problems notably involving spatial constraints (strongly combinatorial problems).

Permanent staff:

• Hazaël Jones (associated from ITAP)
• Clément Jonquet (coordinator)
• Pascal Neveu
• Danai Syméonidou
• Philippe Vismara