An Android App to Classify Culicoides Pusillus and Obsoletus Species

Sebastián Gutiérrez, Noel Pérez, Diego S. Benítez, Sonia Zapata, Denis Augot

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva


Culicoides biting midges are transmission vectors of various diseases affecting humans and animals around the world. An optimal and fast classification method for these and other species have been a challenge and a necessity, especially in areas with limited resources and public health problems. In this work, we developed a mobile application to classify two Culicoides species using the morphological pattern analysis of their wings. The app implemented an automatic classification method based on the calculation and reduction of seven morphological features extracted from the wing images, and a naive Bayes classifier to produce the final classification of C. pusillus or C. obsoletus class. The proposed app was validated on an experimental dataset with 87 samples, reaching an outstanding mean of the area under the curve of the receiver operating characteristic score of 0.973 in the classification stage. Besides, we assessed the app feasibility using the mean of execution time and battery consumption metrics on two different emulators. The obtained values of 5.54 and 4.35 s and 0.0.02 and 0.11 mAh for the tablet Pixel C and phone Pixel 2 emulators are satisfactory when developing mobile applications. The achieved results enable the proposed app as an excellent approximation of a practical tool for those specialists who need to classify C. pusillus or C. obsoletus species in wildlife settings.

Idioma originalInglés
Título de la publicación alojadaApplications of Computational Intelligence - 3rd IEEE Colombian Conference, ColCACI 2020, Revised Selected Papers
EditoresAlvaro David Orjuela-Cañón, Jesus Lopez, Julián David Arias-Londoño, Juan Carlos Figueroa-García
EditorialSpringer Science and Business Media Deutschland GmbH
Número de páginas14
ISBN (versión impresa)9783030697730
EstadoPublicada - 2021
Evento3rd IEEE Colombian Conference on Applications of Computational Intelligence, IEEE ColCACI 2020 - Virtual, Online
Duración: 7 ago. 20208 ago. 2020

Serie de la publicación

NombreCommunications in Computer and Information Science
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937


Conferencia3rd IEEE Colombian Conference on Applications of Computational Intelligence, IEEE ColCACI 2020
CiudadVirtual, Online


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