Andhra Pradesh adopts AI powered mosquito surveillance system to combat vector borne diseases during monsoon season
The Andhra Pradesh government has launched a tech-led initiative powered by artificial intelligence. Known as the Smart Mosquito Surveillance System or SMoSS, the program marks a shift from reactive manual spraying to real-time, precision-driven mosquito control.
Piloted by the Municipal Administration and Urban Development Department, SMoSS will initially roll out across 66 locations in six key municipal corporations—Visakhapatnam, Vijayawada, Kakinada, Rajamahendravaram, Nellore, and Kurnool. The pilot includes a wide network of AI-enabled sensors, IoT devices, and drones designed to monitor mosquito density, species type, gender, and surrounding climate conditions like humidity and temperature.
The system triggers automatic alerts when mosquito populations exceed critical thresholds, enabling immediate fogging or larvicide spraying by municipal teams. Drones equipped for spraying will help cover wider areas with greater efficiency while reducing chemical usage and costs.
A central dashboard will provide live feeds and analytics from all project locations, allowing civic officials to respond dynamically, coordinate better, and track intervention outcomes in real time. Importantly, the entire operation will be outsourced to tech-enabled service providers, and payments will be performance-linked—based on measurable mosquito reduction and citizen feedback.
To further sharpen the AI system’s targeting, government hospitals will contribute real-time health data on mosquito-borne illnesses, helping identify hotspots and shape focused responses. Citizen complaints and field reports will also be integrated through platforms such as Vector Control and Puramitra apps.
Officials believe SMoSS represents a leap toward smarter urban governance and more sustainable public health strategies. By using AI to predict and prevent outbreaks, the state aims to reduce disease burden and save both lives and resources in the long term.
