¶ Autonomous UAV swarms in forestry
Description: Treeswift is an AI-powered forest monitoring system that uses autonomous drones and hand-held sensor packs to collect high-resolution data on trees, biomass, and forest health. It combines LiDAR and computer vision to measure tree inventory, carbon capture, and fuel loads on a tree-by-tree basis, aiding in forestry, carbon auditing, and wildfire prevention.
Key Features of the Treeswift System
Autonomous Under-Canopy Drones: The system operates by flying drones underneath the canopy, providing detailed, localized data that satellites and airplanes cannot capture.
Swiftpack Sensor Packs: These are handheld or backpack-mounted devices for foresters that collect LiDAR and visual data as they walk, reducing the reliance on manual measurement tools.
AI-Powered Analytics: Treeswift's technology processes raw scan data using machine learning to produce actionable metrics, including timber volume estimation, defect detection, and forest 3D reconstructions.
Category: Autonomous Machinery & Robotics
FWPA RD&E: 4.4
¶ Details
| Company | Country | Type | Website | Available in Australia? | Year | Status | Remarks | TRL | Employees | Colour | Inventors | Patent Model. |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Treeswift | USA | Company | Link | Orange |