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Vector-Borne Disease (VBD) is an infectious disease transmitted through thepathogenic female Aedes mosquito to humans and animals. It is important tocontrol dengue disease by reducing the spread of Aedes mosquito vectors.Community awareness plays acrucial role to ensure Aedes control programmes andencourages the communities to involve active participation. Identifying thespecies of mosquito will help to recognize the mosquito density in the localityand intensifying mosquito control efforts in particular areas. This willhelp inavoiding Aedes breeding sites around residential areas and reduce adultmosquitoes. To serve this purpose, an android application are developed toidentify Aedes species that help the community to contribute in mosquitocontrol events. Several Android applications have been developed to identifyspecies like birds, plant species, and Anopheles mosquito species. In thiswork, a user-friendly mobile application mAedesID is developed for identifyingthe Aedes mosquito species using a deep learning Convolutional Neural Network(CNN) algorithm which is best suited for species image classification andachieves better accuracy for voluminous images. The mobile application can bedownloaded from the URLhttps://tinyurl.com/mAedesID.

mAedesID: Android Application for Aedes Mosquito Species Identification using Convolutional Neural Network