About
Silvanet is Dryad Networks' complete wildfire detection and forest management platform, purpose-built for large-scale, remote forest environments. At its core are solar-powered Wildfire Sensors with embedded AI that continuously analyze carbon monoxide, hydrogen, and other gases released during pyrolysis — the earliest chemical stage of a wildfire — enabling detection in minutes rather than hours. The hardware suite includes Wildfire Sensors for on-the-ground detection, Mesh Gateways that create a resilient LoRaWAN mesh network (even in areas without mobile coverage), and Border Gateways providing 24/7 cloud connectivity via LTE, Ethernet, or satellite. All sensor data flows into the Silvanet Cloud Platform, which delivers real-time alerts, geographic incident mapping, multi-site management, risk assessment dashboards, and advanced analytics for proactive decision-making. Beyond fire detection, Silvanet supports forest health and growth monitoring, helping forest owners collect reliable data for disease prevention, drought response, and ROI optimization of timber assets. The system is designed for enterprise-scale deployments, accommodating thousands of sensors across diverse terrain. It is available through a global network of reseller partners and is ideally suited for forestry companies, government agencies, national parks, and insurance-focused risk managers seeking to minimize wildfire damage and operational costs.
Key Features
- Embedded AI Wildfire Sensors: Solar-powered, weatherproof sensors with on-device AI detect carbon monoxide, hydrogen, and pyrolysis gases at the earliest stages of a wildfire, triggering alerts within minutes.
- LoRaWAN Mesh Network: Dryad's patent-pending distributed Mesh Gateways create a resilient LoRaWAN mesh network that enables large-scale sensor deployments across remote forests without mobile coverage.
- 24/7 Cloud-Connected Border Gateways: Border Gateways maintain continuous communication with the cloud platform via LTE (LTE-M/NB-IoT with 2G fallback), Ethernet, or satellite, powered by mains or solar energy.
- Real-Time Cloud Analytics Platform: The Silvanet Cloud Platform provides real-time wildfire alerts with precise geographic data, multi-site management, deployment planning, risk assessment, and advanced data visualizations.
- Forest Health & Growth Monitoring: Beyond fire detection, Silvanet collects environmental data to monitor forest health, detect diseases, counter droughts, and optimize tree growth and return on investment for forest owners.
Use Cases
- Early wildfire detection for national parks and forest reserves to enable rapid firefighter dispatch before fires become uncontrollable.
- Forest health and growth monitoring for commercial timber companies seeking to optimize yield, prevent disease spread, and respond to drought conditions.
- Government and municipal wildfire risk management programs aiming to protect public lands, reduce disaster response costs, and meet environmental mandates.
- Insurance-driven risk mitigation for forest asset owners who need continuous monitoring data to assess and reduce wildfire liability.
- Remote environmental monitoring in areas without cellular or internet infrastructure, leveraging LoRaWAN mesh networking for scalable, multi-party sensor deployments.
Pros
- Ultra-Early Detection Window: By sensing pyrolysis gases before visible flames appear, Silvanet gives firefighters a critical head start — potentially detecting fires in minutes rather than the hours it takes for smoke or satellite imagery to confirm a blaze.
- Works in Remote, Off-Grid Environments: Solar-powered sensors and LoRaWAN mesh networking eliminate the need for existing infrastructure, making the system viable in the most inaccessible forest regions.
- End-to-End Integrated Solution: Hardware, networking, and cloud analytics are designed and integrated by a single vendor, reducing deployment complexity and ensuring reliable system-wide performance.
- Dual-Purpose Monitoring: The same sensor network that detects wildfires also provides ongoing forest health and growth data, delivering additional ROI for forest owners beyond fire prevention alone.
Cons
- Significant Hardware Deployment Required: Covering large forest areas requires physical installation of potentially hundreds or thousands of sensors and gateways, which involves logistical complexity and upfront capital expenditure.
- Enterprise-Level Pricing: Silvanet is an enterprise IoT system with no publicly listed pricing or free tier, making it inaccessible for small private landowners or low-budget conservation projects.
- Ongoing Maintenance in Remote Locations: Despite solar power, sensors deployed in harsh, remote terrain require periodic physical inspection and maintenance, adding to total cost of ownership over time.
Frequently Asked Questions
Silvanet is Dryad Networks' complete IoT and AI system for ultra-early wildfire detection and forest health monitoring. It combines solar-powered gas-sensing sensors, a LoRaWAN mesh network, and a cloud analytics platform to detect wildfires in their earliest stages and provide continuous forest management insights.
Ultra-early detection gives firefighters valuable extra time to respond before a fire spreads out of control. This dramatically reduces firefighting costs, prevents economic damage to timber and property, saves human lives and wildlife, and can lower insurance risk premiums for forest owners.
Silvanet is available through Dryad Networks' global network of reseller partners or directly via a Sales Enquiry on the Dryad Networks website. Interested buyers can contact the sales team to discuss deployment scale and pricing.
The number of sensors and gateways depends on the size, terrain, and vegetation density of the forest. Dryad Networks provides deployment planning tools within the Cloud Platform and works with customers to design an appropriately scaled network for their specific environment.
Wildfire Sensors and Mesh Gateways are solar-powered for off-grid operation. Border Gateways can be powered by mains electricity or solar panels. The sensor network communicates via a LoRaWAN mesh (no mobile coverage required), while Border Gateways connect to the cloud via LTE (LTE-M/NB-IoT with 2G fallback), Ethernet, or satellite.
