The European forest sector phases numerous demands and challenges, and the need to mitigate and adapt to climate change might just be the biggest one of them. The issue is well acknowledged in high
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
