Bark beetle; detection; drones; AI

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Language English

Innovation

Yes

Owner or author e-mail

drugge@arboair.com

Main website

https://arboair.com

Domain

Inventory, monitoring

Forest disturbances, risks

Research and development

Voting

Keywords

Bark beetle; detection; drones; AI

Short description

<table border="0" cellpadding="0" cellspacing="0" style="width:551px;" width="551"> <tbody> <tr height="60"> <td height="60" style="height:60px;width:551px;">Precision forestry service that with the help of RGB and multispectral images from drones, airplanes, helicopters or satellites can detect bark beetle infected or stressed trees.</td> </tr> </tbody> </table>

Digital solution

Yes

Type of solution

Sensors, measurement equipment

Abstract

Today, the technology for identifying bark beetle attacks in the forest is largely based on manual work through visual checks of forest areas, where early attacks are almost impossible to see, while old attacks are easier to detect. Attempts have been made to identify damage attacks using satellite radar maps which give a good indication and can be seen as a complementing part to our precision analysis. Arboair Forest Mapper is a service where you analyze your images via our AI. Our model is trained on over 200 000 trees and it is verified by forest managers.

Owner or author organization

Paper Province

Owner or Author name

Marcus Drugge

Owner or author website

http://www.arboair.com

Reporter organisation

Paper Province

Reporter name

Gunnar Hellerström

Reporter e-mail

g.hellerstrom@paperprovince.com