187 - Recent Trapping and Trap Technology for Surveillance and Control of Mosquitoes

Abstract: Recent developments in mosquito surveillance and control have introduced a new generation of traps that integrate digital technologies, enhance species-specific targeting, and improving operational efficiency. Traditional devices such as CDC light trap, BG-Sentinel, and gravid traps remain foundational, but are now complemented by smart systems leveraging IoT, computer vision, and deep learning, and AI technology. Notably, an IoT and ai-based smart trap has demonstrated real-time identification of common species of adult mosquitoes using neural networks, achieving recognition rates up to 97% and capture rates up to 67% in controlled environments. These traps also incorporate environmental sensors to optimize deployment with robotic /vehicle and predict mosquito activity. Also, a variety of Ovi traps and auto egg counts have been developed and adopted in several operation programs. The BG-Pro offers flexible configurations and remote monitoring via BG-counter technology. These new technology reduce reliance on manual labor, marking a significant shift toward data-driven mosquito control programs.