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EFFORTE – Efficient forestry for sustainable and cost-competitive bio-based industry
Metsäteho takes part in EFFORTE project (2016–2019) which is coordinated by Luke. EFFORTE consortium consist of 23 partners from five European countries. The project has received funding from the Bio Based Industries Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme.
Bio-Based Industries Joint Undertaking (BBI)
EFFORTE’s targets
EFFORTE is a research and innovation project providing the European forestry sector with new knowledge and knowhow which will significantly improve the possibilities of forest enterprises to assemble and adopt novel technologies and procedures.
The project aims at enhanced efficiency in forest operations, sustainable forestry (i.e. less environmental burden caused by forest operations), increased forest growth, cost-competitive bio-based industry and acceleration of the regional economic development. The project is based on three key elements of technology and knowhow:
1. Basic understanding of fundamentals of soil mechanics and terrain trafficability is a crucial starting point to avoid soil disturbances, accelerate machine mobility and assess persistence of soil compaction and rutting. The key findings and recommendations of trafficability related to EFFORTE can immediately be adapted in all European countries.
2. Due to decreasing cost-competitive of manual work and maturity of technology it is now perfect time to realize the potential of mechanization in silvicultural operations. EFFORTE pursues for higher productivity and efficiency in silvicultural operations such as tree planting and young stand cleaning operations.
3. ‘Big Data’ (geospatial as well as data from forestry processes and common information e.g. weather data) provides a huge opportunity to increase the efficiency of forest operations. In addition, it adds new possibilities to connect knowledge of basic conditions (e.g. trafficability), efficient silviculture and harvesting actions with demand and expectations from forest industries and the society. Accurate spatial information makes it possible for forestry to move from classic stand-wise management to precision forestry, i.e. micro stand level, grid cell level or tree-by-tree management. EFFORTE aims at achieving substantial influence on the implementation and improved use of Big Data within Forestry and through this increase cost-efficiency and boost new business opportunities to small and medium size enterprises (SME) in the Bio-Economy.
EFFORTE researchers will develop and pilot precision forestry applications that, according to industrial project partners, show the greatest potential for getting implemented immediately after the project.
Metsäteho in EFFORTE
Project leader in Metsäteho: Jarmo Hämäläinen
Metsäteho is one of EFFORTE’S industrial partners and supports its work through Metsäteho’s own R&D-activities (in-kind funding). Metsäteho’s main tasks in the project’s work packages are as follows:
WP 1 – Basic components of soil trafficability
- Definition of research targets from the viewpoint of Finnish wood supply
WP 2 – Increased efficiency in silviculture
- Participating in development work aiming at new cost-efficient machine concepts for planting and pre-commercial thinning.
- Field tests and cost analyzes on new machines and devices.
WP3 – Big data databases and applications
- Defining the vision and targets of Big Data utilization in wood supply and silviculture. Mapping and evaluation of possible data sources in Finland.
- Defining the future forest data management architecture targeting efficient Big Data utilization.
- Taking part in the international development of data transfer standards and interfaces.
- Developing methods for automatic forest machine based data collecting and utilization in precision forestry.
- Progressing method and technology development that aims at improved positioning accuracy of forest machines.
- Defining the requirements for quality control systems of forest operations. Participating in the method development of cost-effective and automatic quality measurement methods.
WP4 Validation and analyses of expected impacts
- Taking part in conceptual testing on trafficability models targeting into new applications for object level planning of forest operations.
- Participating in planning, construction and testing of new application concepts for Big Data utilization in forestry.
- Further development of ground pressure calculation tool aimed at to predict and compare usability of different machine concepts on various soil conditions.
Metsäteho also supports dissemination of results to forest industry and other actors in the forest sector.
This project has received funding from the Bio Based Industries Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 720712.