Search results
Results 1-17 of 17
-
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…
-
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,…
-
Doctoral project: Advanced identification methods for the forest industry through CV/AI The project intends to create opportunities for continued digitalisation in the forest industry. This concerns…
-
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…
-
Project: OptiForValue Optimising forest operations for sustainable forest management and high-value applications.
- Jan Oscarsson
- janoscarssonlnuse
-
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…
-
SEK one million to research on environmentally friendly wood panels News
-
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…
-
Project: ForestMap The overall objective of the project is to develop and evaluate a new methodology to produce forest maps across the globe, to advance the societal values of forest use. The forest…
-
Project: Tree volume measurement by AI The project is a collaboration between Sweden and Brazil with the goal to improve forest inventory efficiency in both Swedish and Brazilian forestry through a…
-
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…
-
Seed project: Machine learning stabilized steady-state advective-diffusive heat transport This seed project aims to explore and use the strengths of Scientific Machine Learning (SciML) to solve the…
- Roger Pettersson Associate Professor
- +46 470-70 86 55
- rogerpetterssonlnuse
- Welf Löwe Professor
- +46 470-70 84 95
- +46 76-760 36 62
- welflowelnuse
- Anders Olsson Professor
- +46 470-70 89 85
- +46 70-730 51 70
- andersolssonlnuse
- Johan Bergh Professor
- +46 470-76 75 42
- +46 70-292 25 25
- johanberghlnuse