An Ontology-Based Decision Support System for Insect Pest Control in Crops View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018-10-02

AUTHORS

Katty Lagos-Ortiz , José Medina-Moreira , César Morán-Castro , Carlos Campuzano , Rafael Valencia-García

ABSTRACT

Agriculture provides most of the world’s food that helps to sustain and enhance human life. Diseases infections and insect pest in crops cause considerable economic losses. Diagnosing or defining the type of insect pest or disease that affects the crop is not an easy task for farmers, even more, when the diversity of insects and diseases is quite numerous. There is a need for tools focused on the knowledge management of experts capable of providing guidelines for the diagnosis and prevention of insect pests. This work presents an ontology-based decision support system for insect pest control in sugarcane, rice, soya, and cacao crops. This system takes advantage of Semantic Web technologies to represent the experts’ knowledge as well as to apply semantic reasoning to diagnose the insect pest that affects the crop. This system was evaluated to measure its efficacy regarding the diagnosis of the insect pest that affects a crop obtaining encouraging results. More... »

PAGES

3-14

References to SciGraph publications

  • 2000-05. Gene Ontology: tool for the unification of biology in NATURE GENETICS
  • 2009. OWL: Web Ontology Language in ENCYCLOPEDIA OF DATABASE SYSTEMS
  • Book

    TITLE

    Technologies and Innovation

    ISBN

    978-3-030-00939-7
    978-3-030-00940-3

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-030-00940-3_1

    DOI

    http://dx.doi.org/10.1007/978-3-030-00940-3_1

    DIMENSIONS

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