Fast and reliable identification of insect species is crucial for pest management, animal
quarantine, and effective utilization of insect resources. Traditional morphological …

Abstract Machine learning (ML) techniques excel at forecasting, clustering, and classification
tasks, making them valuable for various aspects of mosquito control. In this literature review …

Image-based automatic classification of vector mosquitoes has been investigated for
decades for its practical applications such as early detection of potential mosquitoes-borne …

Microscopic observation of mosquito species, which is the basis of morphological
identification, is a time-consuming and challenging process, particularly owing to the …

The field of morphometrics is develo** quickly. Recent advances have enabled geometric
techniques to be applied to many zoological problems, particularly those involving …

Dengue, chikungunya and Zika are arboviruses transmitted by mosquitos of the genus
Aedes and have caused several outbreaks in world over the past ten years. Morphological …

Mosquito-borne diseases such as dengue fever and malaria are the top 10 leading causes
of death in low-income countries. Control measure for the mosquito population plays an …

We present a new and innovative identification method based on deep learning of the wing
interferential patterns carried by mosquitoes of the Anopheles genus to classify and assign …

The economic and social impacts due to diseases transmitted by mosquitoes in the latest
years have been significant. Currently, no specific treatment or commercial vaccine exists for …

Abstract XYOM, for XY Online Morphometrics, is an online implementation of the geometric
morphometric (GM) approach. It is a platform-independent product, and is presented here as …