Identification of stingless bees beginning from the classification of SIFT descriptors of an image of the right forewing

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Geovanni Figueroa-Mata
Juan Pablo Prendas-Rojas
Melvin Ramírez-Bogantes
Ingrid Aguilar-Monge
Eduardo Herrera-González
Carlos Manuel Travieso-González

Abstract

It has been found that morphological information contained in a wing can be used to identify the species of certain insects, including bees. This paper uses the information contained in the photograph of a wing to discriminate the specie of native stingless bees. A discriminator algorithm based on SIFT is proposed. Specimens used in the research were collected directly from the nests in different geographic areas of Costa Rica and correspond to 18 species of 10 genders. The proposed algorithm was validated with 436 images with 81% success in gender discrimination and 76% for the species. 

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How to Cite
Figueroa-Mata, G., Prendas-Rojas, J. P., Ramírez-Bogantes, M., Aguilar-Monge, I., Herrera-González, E., & Travieso-González, C. M. (2016). Identification of stingless bees beginning from the classification of SIFT descriptors of an image of the right forewing. Tecnología En Marcha Journal, 29(5), pág. 51–63. https://doi.org/10.18845/tm.v29i5.2585
Section
Artículo científico