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Seed project: Vibration-based strength grading of sawn timber The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) was to…
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Seed project: European spruce bark beetles; advanced predictive forecasting by means of machine learning The main objective for this seed project within Linnaeus University Centre for Data Intensive…
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Seed project: Data-intensive tools for effective carbon mitigation in forestry The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications…
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Project: Drone measurement for the intelligent forest We are to develop a system for collection of forestry information with drones that fly in the forest below the canopy. Based on video recording,…
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Project: Digitalisation in forestry A paradigm shift is taking place in forestry, with new opportunities for the forest industry to use satellite data, laser scanning, drones and handling of data from…
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Forestry, Wood and Building Technologies Within the research area Forestry, Wood and Building Technologies, the objective of Linnaeus University Centre for Data Intensive Sciences and Applications…