Abstract
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.
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References
Baeza-Yates, R.A., Ribeiro-Neto, B.: Modern Information Retrieval. Addison-Wesley Longman Publishing Co., Inc., Boston (1999)
Caracciolo, C., Stellato, A., Rajbahndari, S., Morshed, A., Johannsen, G., Keizer, J., Jaques, Y.: Thesaurus maintenance, alignment and publication as linked data: the agrovoc use case. Int. J. Metadata Semant. Ontologies 7(1), 65–75 (2012)
Kawtrakul, A., Mulasastra, I., Khampachua, T., Ruengittinun, S.: The challenges of accelerating connected government and beyond: Thailand perspectives. Electronic Journal of e-Government 9(2), 183–202 (2011)
Kawtrakul, A., Sriswasdi, W., Wuttilerdcharoenwong, S., Khunthong, V., Andres, F.: Cyberbrain: Towards the next generation social intelligence. In: World Conference on Agricultural Information and IT, pp. 1–8 (2008)
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© 2013 Springer-Verlag Berlin Heidelberg
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Chbeir, R., Kawtrakul, A., Laurent, D., Spyratos, N. (2013). DiseaseMedia: An Information System for Helping Diagnosing and Treating Rice Diseases. In: Tanaka, Y., Spyratos, N., Yoshida, T., Meghini, C. (eds) Information Search, Integration and Personalization. ISIP 2012. Communications in Computer and Information Science, vol 146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40140-4_8
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DOI: https://doi.org/10.1007/978-3-642-40140-4_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40139-8
Online ISBN: 978-3-642-40140-4
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