Dryad's Silvanet is a complete solution for ultra-early fire detection and monitoring the forest’s health and growth. It includes sensors, an open standards network infrastructure, and monitoring, analytics and alert services.
Solar-powered sensors measure smoke (gas), temperature, humidity and air pressure.
Sensor nodes connect to Silvanet gateways using LoRa, the open standards long range radio network for IoT.
Scalable, distributed architecture supports a wide range of LoRaWAN compliant sensors.
Enables large-scale deployment of multi-party sensor networks.
MONITORING & ANALYTICS
Cloud big data tools for analytics, monitoring and alerting.
Ultra-early detection of forest fires during smoldering phase.
Actionable information and tools for forest owners.
Silvanet provides ultra-early fire detection, forest health and growth monitoring solutions for public and private forests. It provides actionable insights based on live data gathered from Silvanet sensors and compatible third party sensors.
Enables firefighters to extinguish wildfires before they spread
Dramatically reduces costs of firefighting
Prevents economical damage
Saves human lives and wildlife
Reduces risk and insurance
HEALTH & GROWTH MONITORING
Enables forest owners to monitor health and growth of the forest
Reliable, repeatable data collection
More effective forest planning
Prevent diseases and counter droughts
Optimize tree growth and ROI
When it comes to wildfires, time is of the essence. Silvanet provides ultra-early fire detection, sensing smoke, hydrogen and other gases emitted by pyrolysis in the early stages of a wildfire, giving fire fighters valuable time and a chance to extinguish the fire before it spreads out of control.
Days / Weeks
Dryad's patent-pending distributed LoRaWAN mesh gateway enables large scale deployments of a standards-compliant LoRa network in areas without mobile network coverage.
Wireless / LoRa
Internet / Cloud