Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/69725
Title: Automatic discrimination of Costa Rican stingless bees based on modified SIFT of its wings
Authors: Prendas Rojas, Juan Pablo
Ramirez Bogantes, Melvin
Aguilar Monge, Ingrid
Figueroa Mata, Geovannie
Travieso González, Carlos Manuel 
Herrera Gonzalez, Eduardo
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Image Processing
Sift
Stingless Bees
Venation Classification
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE) 
Conference: 36th IEEE Central American and Panama Convention, CONCAPAN 2016 
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).
URI: http://hdl.handle.net/10553/69725
ISBN: 978-1-4673-9578-6
DOI: 10.1109/CONCAPAN.2016.7942339
Source: 2016 IEEE 36th Central American and Panama Convention, (CONCAPAN 2016), e16946980
Appears in Collections:Actas de congresos
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