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RESEARCH PRODUCT
An Ontology-Based Monitoring System in Vineyards of the Burgundy Region
Amira MouakherOuassila LabbaniChristophe NicolleAurélie BertauxRami BelkarouiClémentine Hugol-gentialsubject
WineAssociation rule learningProcess (engineering)Computer sciencemedia_common.quotation_subject010401 analytical chemistry020206 networking & telecommunicationsMonitoring system02 engineering and technologyOntology (information science)01 natural sciencesData scienceVineyard0104 chemical sciences0202 electrical engineering electronic engineering information engineeringProduction (economics)Quality (business)media_commondescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2019-06-01 | 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) |