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EFFORTE Business forum
What did we gain?
Future expectations?
Evaluation
19.6.2019 Timo Niemelä
| © UPM
What did we gain?
• Co-operation between industry and researchers
• International co-operation and contacts
• Useful information of trafficability, silviculture and Big Data
Example – Big Data bases and applications – Mapping and SWOT analysis of
existing and future Big Data sources from Sweden, Finland and France
2
| © UPM
What did we gain?
Trafficability and Big Data
• Soil mechanics studies
• Testing of different trafficability maps
• Costs of seasonal variation
• Wood property model
• Decision support systems
– Dynamic trafficability map
– CAN-bus data for trafficability
3
Silviculture
• Silviculture mechanization development
• Silviculture long-term effect surveys
• Precision forestry
| © UPM
Future expectations?
4
Common R&D needs has been listed in Efficient Wood Supply 2025 - vision
• www.metsateho.fi/tehokas-puuhuolto-2025-visio/
• www.metsateho.fi/briefly-in-english/
After Efforte there is still some work to do, for example
– Trafficability
• Soil type map
• Dynamic trafficability map
– Silviculture
• cost-effective (mechanized) methods
– Use of Big Data – only sky is the limit…
• For example for new purposes like acceptability, sustainability, safety, forest heath…
| © UPM
Efforte evaluation 1(3)
5
R&D focus areas 2018–2025
(From EFFICIENT WOOD SUPPLY 2025 VISION)
WP1. Trafficability
WP2. Efficient silviculture
WP3. Big Data and applications
WP4. Validation and analysis of
expected impacts
WP5. management and
dissemination
| © UPM
Efforte evaluation 2(3)
Company needs
• Ready for use tools and results
6
Efforte doings
• Theoretic modelling
• Publications
• Method development
• Demonstrating and testing
| © UPM
Efforte evaluation 3(3)
7
What did we gain & Future expectations - UPM's viewpoints on EFFORTE

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What did we gain & Future expectations - UPM's viewpoints on EFFORTE

  • 1. EFFORTE Business forum What did we gain? Future expectations? Evaluation 19.6.2019 Timo Niemelä
  • 2. | © UPM What did we gain? • Co-operation between industry and researchers • International co-operation and contacts • Useful information of trafficability, silviculture and Big Data Example – Big Data bases and applications – Mapping and SWOT analysis of existing and future Big Data sources from Sweden, Finland and France 2
  • 3. | © UPM What did we gain? Trafficability and Big Data • Soil mechanics studies • Testing of different trafficability maps • Costs of seasonal variation • Wood property model • Decision support systems – Dynamic trafficability map – CAN-bus data for trafficability 3 Silviculture • Silviculture mechanization development • Silviculture long-term effect surveys • Precision forestry
  • 4. | © UPM Future expectations? 4 Common R&D needs has been listed in Efficient Wood Supply 2025 - vision • www.metsateho.fi/tehokas-puuhuolto-2025-visio/ • www.metsateho.fi/briefly-in-english/ After Efforte there is still some work to do, for example – Trafficability • Soil type map • Dynamic trafficability map – Silviculture • cost-effective (mechanized) methods – Use of Big Data – only sky is the limit… • For example for new purposes like acceptability, sustainability, safety, forest heath…
  • 5. | © UPM Efforte evaluation 1(3) 5 R&D focus areas 2018–2025 (From EFFICIENT WOOD SUPPLY 2025 VISION) WP1. Trafficability WP2. Efficient silviculture WP3. Big Data and applications WP4. Validation and analysis of expected impacts WP5. management and dissemination
  • 6. | © UPM Efforte evaluation 2(3) Company needs • Ready for use tools and results 6 Efforte doings • Theoretic modelling • Publications • Method development • Demonstrating and testing
  • 7. | © UPM Efforte evaluation 3(3) 7