DiseaseMedia: An Information System for Helping Diagnosing and Treating Rice Diseases

Richard Chbeir (1) , Kawtrakul Asanee (2) , Dominique Laurent (3) , Nicolas Spyratos (4)

1 LIUPPA - Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour
2 NAIST - Nara Institute of Science and Technology - Graduate School of Information Science
3 ETIS - UMR 8051 - Equipes Traitement de l'Information et Systèmes
4 LRI - Laboratoire de Recherche en Informatique

We present an information system supporting the diagnosis and treatment of rice diseases. The heart of the system is a software mediator allowing farmers to formulate distant queries regarding a disease and responding to farmer queries by recommending a treatment of the disease if one exists. The disease diagnosis and the recommended treatment are based on expert knowledge stored in the mediator database. The processing of farmer queries may involve direct access to the mediator by farmers, online communication between the mediator and the experts, or direct dialog between the farmer and an expert. Our information model is generic in the sense that it can be used to support the needs of farmers in a variety of similar environments, with minor changes. The system presented in this paper is currently under development as part of a Franco-Thai project and aims to assist farmers in the quick diagnosis of rice diseases and their treatment.

Domaines: Informatique; Base de données [cs.DB]; Multimédia [cs.MM]; Recherche d'information [cs.IR]; Web

Richard Chbeir, Kawtrakul Asanee, Dominique Laurent, Nicolas Spyratos. DiseaseMedia: An Information System for Helping Diagnosing and Treating Rice Diseases. Workshop on Information Search, Integration and Personalization (ISIP), Oct 2012, Sapporo, Japan. ⟨hal-01092513⟩