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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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