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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

DISA's seed projects

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