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

Project description

AI technologies for improved forest management

European forests play a crucial role in the bioeconomy and the provision of ecosystem services. However, they face increasing challenges from climate threats, which impact their functions, including carbon sequestration, biodiversity, and recreation. The EU-funded SingleTree project aims to revolutionise forest management using advanced data capture and AI technologies to monitor individual tree attributes, health, and biodiversity. The project seeks to improve sustainable forest management and optimise data acquisition throughout the value chain. It focuses on enhancing forest resilience, maximising the use of different wood grades, and evaluating the environmental and social impacts of its innovations. Additionally, it encourages regional and local entities to adopt business models that emphasise sustainability and circularity.

Objective

"European forests, pivotal in the bioeconomy and provision of ecosystem services, face growing challenges from climate threats, impacting their multifunctional roles from carbon sequestration to biodiversity and recreation. ""SingleTree"" seeks to transform forest management, aligning with the EUs Bioeconomy Strategy, Rural Vision, Biodiversity Strategy, and the European Green Deal.

SingleTree leverages cutting-edge data capture and AI technologies to monitor individual tree attributes, health, and biodiversity ensuring a holistic approach to multifunctional forest management. By developing solutions for forest health monitoring and wood quality control, the project aims to enhance sustainable forest management, considering the diverse European and regional forest varieties. Data acquisition across the value chain, from forest operations to wood processing, will be optimized, aiding decision-making processes, from harvesting timings to treatment options.

Using a co-creation approach with Living Lab value chains, the project quickly develops solutions addressing real-world challenges. It focuses on boosting forest resilience, preventing biodiversity loss due to climate change, and maximizing the use of different wood grades. SingleTree prioritizes the full utilization of forest biomass, highlighting the carbon retention of premium wood.

Furthermore, SingleTree will assess the environmental and social impacts of its innovations, focusing on biodiversity enhancement, resource efficiency, and the implications for stakeholders. The project encourages regional and local entities, particularly SMEs, to adopt innovative business models emphasizing sustainability, circularity, and tiered biomass use. This strategy enhances material utilization and highlights the balance of trade-offs, synergies, and community involvement, ensuring beneficial outcomes for the environment, society, and economy in regional and rural areas."

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-JU-RIA - HORIZON JU Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-JU-CBE-2023

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Coordinator

NIBIO - NORSK INSTITUTT FOR BIOOKONOMI
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 905 000,00
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 905 000,00

Participants (10)

Partners (3)

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