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The findings of MSc Tuomas Yrttimaa's thesis improve the current knowledge of the feasibility of using point cloud-based methods in observing tree characteristics.
The Proof of Concept ideas funded in 2021 included a functional biomarker for Alzheimer's disease, a mathematic algorithm for the personalized prediction of aortic rupture, and enzymes cleaving biomass fibers.
ForestBioFacts digital learning environment covers everything from sustainable forest management to wood-based products and technologies.
A new project launched at the faculty aims to enhance the supervision and well-being of postgraduate students, and to clarify the process experienced by postgraduate students.
Drones have quickly become a widely used tool for forest mapping, but traditional field work still maintains its footing. By combining different types of data, it is possible to find the most cost-effective method for forest inventory.
The funding will be used to promote research activities in areas of significance to the university, which pertain to drug development and discovery, neurosciences, the forest-based bioeconomy, and the development of technologies that make use of photonics.
External funding has given a boost to the development of research and education in the forest-based bioeconomy and medical computing alike.
MSc Alwin Hardenbol says that protected areas lack natural disturbances like fires nowadays. Allowing and restoring natural disturbances in a controlled fashion could be an effective way to maintain their diverse structure.
The main aim of MSc Tomi Karjalainen's thesis was to test different methods to predict tree quality, especially sawlog volume, by means of ALS.