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Automatic discrimination of Costa Rican stingless bees based on modified SIFT of its wings

  • Juan Pablo Prendas Rojas
  • , Melvin Ramirez Bogantes
  • , Ingrid Aguilar Monge
  • , Geovannie Figueroa Mata
  • , Carlos Travieso Gonzalez
  • , Eduardo Herrera Gonzalez
  • Costa Rica Institute of Technology
  • National University of Costa Rica
  • University of Las Palmas de Gran Canaria

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The creation of an automated system based on digital image processing of photographs of their wings to identify the genus and species of a bee (Apidae: Meliponini) is proposed. A fast and efficient system of taxonomic classification of stingless bees would be a very valuable contribution, as well as a reference for the study of stingless bees. The fore and hind right wings of workers were placed in an inert medium. The bee samples were collected directly from their nests and from the entomological collection of the Tropical Bee Research Center (CINAT).

Original languageEnglish
Title of host publication2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467395786
DOIs
StatePublished - 2 Jul 2016
Event36th IEEE Central American and Panama Convention, CONCAPAN 2016 - San Jose, Costa Rica
Duration: 9 Nov 201611 Nov 2016

Publication series

Name2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016

Conference

Conference36th IEEE Central American and Panama Convention, CONCAPAN 2016
Country/TerritoryCosta Rica
CitySan Jose
Period9/11/1611/11/16

Keywords

  • SIFT
  • image processing
  • stingless bees
  • venation classification

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