An ontology-based decision support system for insect pest control in crops


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.

Año de publicación:

2018

Keywords:

  • Agriculture
  • ontology
  • Insect
  • prevention
  • Plague

Fuente:

scopusscopus

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Ciencia agraria

Áreas temáticas de Dewey:

  • Agricultura y tecnologías afines
  • Cultivos de huerta (horticultura)
  • Ganadería
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

  • ODS 2: Hambre cero
  • ODS 15: Vida de ecosistemas terrestres
  • ODS 17: Alianzas para lograr los objetivos
Procesado con IAProcesado con IA