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An Ontology-Based Monitoring System in Vineyards of the Burgundy Region

Abstract : Given the France's rich wine heritage as well as its pioneering position as the world's second wine producer, the production of high quality wines plays a role of primary importance. The recent development of IOT and efficient big data processing has been shown to provide purposeful issue to permanent monitoring during the entire wine making process. Standing within this trend, we introduce in this paper an intelligent system for vineyards monitoring in the Burgundy region. The main trust of the proposed system relies on the use of the Swrl rules in WineCloud ontology. The design of the ontology is mainly based on information gathered from interviews with wine growers. In addition, sensor data is also collected and used to feed the ontology after being processed. The system is used in the aim to have better grape quality with an improved vineyard management. To do so, association rules are extracted from the collected data aiming to provide useful knowledge to forecast vine diseases.
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Communication dans un congrès
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Contributeur : CIAD - université de Bourgogne Connectez-vous pour contacter le contributeur
Soumis le : vendredi 25 octobre 2019 - 17:06:11
Dernière modification le : jeudi 4 août 2022 - 17:07:34



Amira Mouakher, Rami Belkaroui, Aurélie Bertaux, Ouassila Labbani, Clémentine Hugol-Gential, et al.. An Ontology-Based Monitoring System in Vineyards of the Burgundy Region. 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), Jun 2019, Capri (Napoli), Italy. ⟨10.1109/WETICE.2019.00070⟩. ⟨hal-02334040⟩



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