SingleTree

To develop an optimised value chain, SingleTree aims to:

• Develop an AI and remote sensing-enabled single-tree focused forest monitoring approach that yields detailed information about tree health status, wood quality, and biodiversity.
• Develop novel adaptive single-tree (and micro-stand) level management solutions and tools for increasing forest resilience and multifunctionality by using detailed single-tree solutions.
• Develop intelligent machines that allow the efficient use and implementation of single-tree management, while also collecting additional information that continuously gives both management and inventory feedback.
• Improve the information on wood properties as a basis for optimising the value and cascading use of all biomass qualities.
• Create connected value chains demonstrated in living labs that function as innovative ecosystems in real-life environments, using iterative feedback processes throughout the value chain to ensure a lifecycle approach and create a sustainable impact.

• Improvement of the overall environmental impact of the forest management practice due to a greater understanding and appreciation of natural forest biodiversity, knowledge of climate change impacts, and improved non-invasive quality control.
• A better alignment between supply and demand of biomass for a specific bio-based industry.
• Increase of the engagement and innovation capacity of regional and local actors, including the bio-based industry, and in particular SMEs, as well as societal impact in rural areas.
• Speed up of the deployment and maximisation of the opportunities in new rural industrial ecosystems.
• Strengthening of the application of the hierarchy of material use, trade-offs, synergies, business models, and participatory approaches with positive environmental, social, and economic impacts on regional and rural development.