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An Ontology-Based Decision Support System for the Diagnosis of Plant Diseases

Katty Lagos-Ortiz, José Medina-Moreira, Mario Andrés Paredes-Valverde, Winston Espinoza-Morán, Rafael Valencia-García

Source Title: Journal of Information Technology Research (JITR)10(4)

ISSN: 1938-7857|EISSN: 1938-7865|EISBN13: 9781522511908|DOI: 10.4018/JITR.2017100103

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MLA

Lagos-Ortiz, Katty, et al. "An Ontology-Based Decision Support System for the Diagnosis of Plant Diseases." JITR vol.10, no.4 2017: pp.42-55. http://doi.org/10.4018/JITR.2017100103

APA

Lagos-Ortiz, K., Medina-Moreira, J., Paredes-Valverde, M. A., Espinoza-Morán, W., & Valencia-García, R. (2017). An Ontology-Based Decision Support System for the Diagnosis of Plant Diseases. Journal of Information Technology Research (JITR), 10(4), 42-55. http://doi.org/10.4018/JITR.2017100103

Chicago

Lagos-Ortiz, Katty, et al. "An Ontology-Based Decision Support System for the Diagnosis of Plant Diseases," Journal of Information Technology Research (JITR) 10, no.4: 42-55. http://doi.org/10.4018/JITR.2017100103

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Abstract

There are several cities and countries whose population depends on agriculture. Crops demand close monitoring regarding diseases because these ones can affect significantly both production and post-harvest life. The identification of disease symptoms plays a crucial role in the successful cultivation of crops. The diagnosis of diseases is a challenging task since many symptoms should be considered, which makes a proper diagnosis becomes a knowledge handling problem. This paper specifies an ontology-based decision support system that promotes the knowledge of experts for the plant disease diagnosis to farmers. This system takes advantage of ontologies in two ways, to exploit the knowledge contained in the ontology for decision support purposes, in this case, the diagnosis of diseases, and to provide a standard vocabulary for integrating phytopathology data sources. The system was evaluated for the diagnosis of diseases presented in short-cycle and perennial crops achieving promising results based on the F-measure metric.

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An Ontology-Based Decision Support System for the Diagnosis of Plant Diseases

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