Title
An Ontology-Based Decision Support System for the Diagnosis of Plant Diseases
Abstract
AbstractThere 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.
Year
DOI
Venue
2017
10.4018/JITR.2017100103
Periodicals
Keywords
Field
DocType
Agriculture, Crops, Disease Diagnosis, Ontologies, Symptom
Ontology (information science),Population,Ontology,Disease,Computer science,Decision support system,Knowledge management,Exploit,Agriculture,Vocabulary
Journal
Volume
Issue
ISSN
10
4
1938-7857
Citations 
PageRank 
References 
2
0.39
15
Authors
5