Towards an Ontology-Based Cotton Phytosanitary Surveillance System: A Case Study in Côte D’Ivoire

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Résumé

Cotton cultivation in the Côte d’Ivoire is subject to enormous pressure from pests. This situation has important consequences on the yield of this crop. To improve yield, a strategy based on phytosanitary surveillance has been elaborated by the National Agronomic Research Center (CNRA). In this paper, we propose a digital solution for the implementation of this strategy. This solution is founded on an ontology (ontoSySParCotCI). It includes two main modules. The first module is a data collection and an alert system. It has a mobile interface for data collection and a web interface for access to data by researchers. The second module is a semantic wiki which is an interface for sharing and co-constructing knowledge on cotton cultivation. A prototype of the first module was presented as well as a satisfaction survey for its use.

Mots-clés

Phytosanitary surveillance , Model driven engineering , Ontology, Ontology learning, Cotton crop