AIMC Topic: Culicidae

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Artificial Neural Network applied as a methodology of mosquito species identification.

Acta tropica
There are about 200 species of mosquitoes (Culicidae) known to be vectors of pathogens that cause diseases in humans. Correct identification of mosquito species is an essential step in the development of effective control strategies for these disease...

Trends and advances in image-based mosquito identification and classification using machine learning models: A systematic review.

Computers in biology and medicine
Mosquito-borne diseases, such as Yellow fever, Dengue, and Zika, pose a significant global health threat, causing millions of deaths annually. Traditional mosquito identification methods, reliant on expert analysis, are time-consuming and resource-in...

TransembleNet: Enhancing vector mosquito species classification through transfer learning-based ensemble model.

PloS one
Mosquitoes, which belong to diverse species, play a significant role in ecological systems and public health. The accurate identification (classification) of mosquito species is essential for a comprehensive understanding of their ecological roles, b...

Assessing Mosquito Breeding Sites and Abundance Using An Unmanned Aircraft.

Journal of the American Mosquito Control Association
An unmanned aircraft system (UAS; i.e., drone) with an attached multispectral camera was used to quantify accumulated surface water on a 0.54-km tidal marsh that abuts San Francisco Bay, CA, USA. The results of the survey showed unequal accumulation ...