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Digital Analytics and Robotics for Sustainable Forestry

CORDIS · observation · Publication date unknown

EST we propose to create such an ecosystem by developing a team of heterogeneous robots to collect and update this raw 3D spatial representations, building large scale forest maps and feeding them to machine learning and spatial AI to semantically segment and label the trees and also the terrain. Our robot team will be diverse: we will use both rugged field robots as well as more experimental vehicles. Most ambitious of all is the intention to (semi-)automate a lightweight harvester for sustainable selective logging. Progress in this project will be demonstrated with an ambitious series of field trials. With the clear engagement of forestry and industrial companies, commercial pathways are readily available. A 1:15 video summarizing the overall project ambitions and consortium can be viewed here: https://tinyurl.com/digiforest mobile robotic navigation. forestry. mapping and change detection. decision support systems.

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recordType

award

status

SIGNED

region

EU

value

2399074.23

unit

EUR