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Planted forests
Published on
28.01.2019
Natural resin sector in the context of climate change
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Published on
08.01.2019
2018 EVOLTREE project grant winners
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Published on
07.01.2019
Congratulations to the 2018 EVOLTREE project grants winners!
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Published on
21.12.2018
2019 happy news: 8 million Euro for European-Chinese project on UFBS
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Published on
20.12.2018
Dealing with wind damage to individual trees
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07.01.2019
07.01.2019
Wood Conferences
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Published on
12.12.2018
EFIPLANT Annual Meeting
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05.06.2019
07.06.2019
Third annual GENTREE project meeting
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Published on
03.12.2018
Planted forest, a solution for green development: 4th ICPF at a glance
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Published on
30.11.2018
Use of machine learning techniques to model wind damage to forests
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.
Models
Planted forests
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Storms
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