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 Sciences and Applications (DISA) is to use machine learning to make analyses of the probability that trees in a clump will be affected by European spruce bark beetles, to be able to fell trees before the problem has arisen.
Title European spruce bark beetles; advanced predictive forecasting by means of machine learning (Granbarkborre; avancerad prediktiv prognostisering med hjälp av machine learning) Applicants Johan Bergh, Johan Hagelbäck, Rikard Unelius, Björn Lundsten (Softwerk AB) Project period Oct 2019–Febr 2020 Core research areas Computer science, forestry and wood technology Proposal Barkborreprevention såddansökan DISA 1910.pdf Read more about the project at Softwerk
What is a seed project?
A seed project is a minor project funded by a knowledge environment or a research group at the university. The aim is to launch and promote excellent research. Depending on the financier, a seed project may be to idenfify new or deepen existing collaborations, preferably cross-disciplinary ones, to explore possible research issues in a feasibility study, to collect empirical material, or to write an application for external funding.