This paper tested the ability of machine learning techniques, namely artificial neural networks and random forests, to predict the individual trees within a forest most at risk of damage in storms.
HOMED will provide a full set of science-based, innovative practical methods, and tools to assess and control emerging or invasive pests and pathogens threatening EU forests, following a holistic and
The aim of PLURIFOR is to help with the development of regional and transnational risk management plans for forest area susceptible to biotic and abiotic hazards.
