Optimizing multifunctional forest-based value chains with single tree information and application of digital technologies

Project Information

SingleTree

Grant agreement ID: 101157488

DOI

10.3030/101157488

EC signature date 26 April 2024

Start date 1 September 2024

End date 31 August 2028

Funded under

• Food, Bioeconomy Natural Resources, Agriculture and Environment

Total cost

€ 5 152 152,50

EU contribution

€ 4 997 527,50

Coordinated by

NIBIO - NORSK INSTITUTT FOR BIOOKONOMI
Norway

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (2)

Criteria for adaptive single tree level management

This report establishes management criteria for individual trees using data on health, biodiversity, and wood quality. With the specific objective of promoting diverse forests and tailoring guidelines to regional and market needs, D2.1 will focus on species biodiversity value, timber quality, and harvesting thresholds for sustainable forest management.

Tracing single trees

In this report the aim is to describe and validate the developed approach for automated traceability oftrees from forest to product, using biometric and positional data. This will be based on the analysis in Task 4.1 aimed linking forestry data with mill outputs and ensures product origin, enhancing the efficiency and transparency of the wood supply chain​​.

Websites, patent fillings, videos etc. (1)

Report on description of first communication activities

A report on the firs communication activities including web-site publishing, press release, and social media channels launch.

Publications

Peer reviewed articles (2)

Towards precision forestry: A systematic review of optimisation methods for individual-tree decisions in forest management

Author(s): Niál Perry, Janine Schweier, Leo Gallus Bont, Sunni Kanta Prasad Kushwaha, Heli Peltola, Kyle Eyvindson, Rasmus Astrup, Melissa Chapman, Clemens Blattert
Published in: Trees, Forests and People, Issue 24, 2026, ISSN 2666-7193
Publisher: Elsevier BV
DOI: 10.1016/J.TFP.2026.101226

FOR-age: Benchmarking individual tree age estimation using 3D deep learning on dense laser scanning data

Author(s): Stefano Puliti, Binbin Xiang, Maciej Wielgosz, Eivind Handegard, Nicolas Cattaneo, Marta Vergarechea, Terje Gobakken, Juha Hyyppä, Erik Næsset, Mikko Vastaranta, Tuomas Yrttimaa, Rasmus Astrup
Published in: Remote Sensing of Environment, Issue 342, 2026, ISSN 0034-4257
Publisher: Elsevier BV
DOI: 10.1016/J.RSE.2026.115462