Mosquito Classification

Mosquito classification research focuses on developing rapid, accurate, and cost-effective methods for identifying mosquito species, particularly disease vectors like *Aedes aegypti*, to improve surveillance and control efforts. Current research employs diverse approaches, including computer vision with deep learning models (like convolutional neural networks and vision transformers), machine learning algorithms analyzing neural spiking activity or acoustic data (wingbeat sounds), and Internet of Things (IoT) integration for automated monitoring. These advancements offer significant potential for improving public health by enabling more efficient and proactive responses to mosquito-borne disease outbreaks.