Ultra Early Wildfire Detection

Dryad Networks supplies the Silvanet suite for ultra-early wildfire detection. The system is built around solar-powered AI-enabled sensors that identify fires within minutes of ignition, including in the smoldering phase, by measuring volatile organic compounds, carbon monoxide, and PM2.5. These sensors feed data through a large-scale mesh network to support rapid response by firefighters before fires grow out of control.

The sensors are fully industrialized and combine multiple gas and particulate detectors. The accompanying network consists of scalable, distributed, off-grid, solar-powered LoRaWAN mesh infrastructure that allows deployment of thousands of low-cost sensors across remote forest areas where conventional connectivity is unavailable. A cloud platform handles deployment planning, network operation, analytics, alerting, fire risk assessment, and fire spread modelling to deliver actionable insights.

Silvanet also incorporates autonomous drone solutions as part of its overall approach to protecting public and private forests. The product line includes dedicated wildfire sensors, mesh gateways, border gateways, and the cloud platform itself, along with supporting tools such as Silvaguard. Evidence of specific pricing, licensing models, or named customer counts is absent from the source material.