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Communication dans un congrès
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.
Keywords :
agricultural products
Big Data
computerised monitoring
Internet of Things
ontologies (artificial intelligence)
plant diseases
product quality
sensors
wine industry
intelligent system
Burgundy region
Vineyards
association rules mining
ontology
smart viticulture
sensor data
grape quality
France
IOT
big data processing
vine diseases forecasting
WineCloud ontology-based monitoring system design
wine production
SWRL rules
Vine life cycle
WSN
monitoring system
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-02334040
Contributeur : Ciad - Université de Bourgogne <>
Soumis le : vendredi 25 octobre 2019 - 17:06:11
Dernière modification le : jeudi 21 novembre 2019 - 01:28:07
Contributeur : Ciad - Université de Bourgogne <>
Soumis le : vendredi 25 octobre 2019 - 17:06:11
Dernière modification le : jeudi 21 novembre 2019 - 01:28:07