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Data Protection Declaration
Imprint
Development of automated (digital) image recognition systems for wood species identification using artificial intelligence (KI_Wood-ID)
Project
Project code: TI-HF-08-HF-2021-2398, 2220HV063A
Contract period: 01.06.2021
- 31.05.2024
Purpose of research: Experimental development
Can wood species be identified with absolute certainty by means of machine learning? We are working on this question in the FNR project in collaboration with the Fraunhofer Institute. The aim: automated image recognition systems for wood species identification. In order to strengthen the trade with legal raw materials and to protect consumers, the used wood species are determined at the Thünen Centre of Competence on the Origin of Timber. Cut specimens of wood and, in the case of fibrous materials such as paper, individual cells are routinely examined under a light microscope and analyzed by experts at great expense of time. Automated image recognition systems can save an enormous amount of work and time here. With the introduction of the European Timber Regulation (EUTR) in 2013, the trade is obliged to document, among other things, the type of wood contained in the product in order to ensure its legal origin. Within the framework of the new research project, automated image recognition systems using artificial intelligence (AI) are to be developed in order to be able to check the wood species declaration of the manufacturers on a larger scale. The Fraunhofer Institute ITWM is contributing its expertise by developing the specific algorithms and training the software using machine learning. The results are to be published scientifically and provided to all testing institutes for the control of internationally traded wood.
Section overview
Subjects
- Forestry Technology
- Genetic Resources
- Computer science
