Tracking Wildlife Disease with Drones and Spatial AI

Wildlife epidemiologists are turning to thermal drone imagery and spatial artificial intelligence to combat devastating animal outbreaks. This article explores how these technologies detect thermal anomalies, analyze movement patterns, and map transmission hotspots to track Chronic Wasting Disease in deer and African Swine Fever in wild boar populations.

Thermal drones provide a non-invasive way to monitor wildlife across dense forests and rugged terrain. Equipped with infrared sensors, these unmanned aerial vehicles fly over habitats to capture heat signatures, allowing researchers to locate nocturnal or hidden animals that traditional ground surveys miss.

Spatial artificial intelligence processes the vast amounts of data collected by these drones. Machine learning algorithms automatically identify specific species from thermal video feeds, count population densities, and track animal trajectories across geographic information systems (GIS).

For African Swine Fever (ASF) in wild boars, early detection of fever and carcasses is critical. Thermal sensors identify live boars exhibiting elevated body temperatures, a primary symptom of acute ASF infection. Furthermore, spatial AI detects the residual heat of recently deceased boars, enabling rapid carcass removal before scavenging animals can spread the highly contagious virus.

Tracking Chronic Wasting Disease (CWD) in deer requires analyzing behavioral changes rather than just body heat, as the prion disease does not cause a classic fever. Spatial AI tracks the movement of individual deer over time, flagging symptoms like lethargy, isolation from the herd, and repetitive walking patterns. Late-stage CWD also causes extreme emaciation, which alters the deer's surface heat dissipation and creates a distinct thermal profile that AI can recognize.

By combining wildlife location data with environmental variables like water sources, soil types, and topography, spatial AI generates predictive risk maps. Epidemiologists use these maps to identify congregation areas where disease transmission is most likely to occur. This allows wildlife agencies to deploy targeted interventions, such as culling infected herds or placing vaccination baits, directly in high-risk zones to stop outbreaks from spreading.