Objective
EFFORTE draws a red line through critical, cost/benefit driving processes, and environmentally concerns of today´s forestry. Starting with efficient fulfilment of various customer demands the red line goes along efficient utilization of Big Data sources, present knowledge and critical new knowledge foreseen as outcomes from this project.
Technical development and mechanization has been a winning concept for high productivity now emphasizing more gentle methods and just in time deliveries to different industry customers. This is possible to reach if new knowledge, improved methods and technical development are combined with better transfer of information and data from different sources (e.g processes, geo data from LiDAR scanning, other conditions such as weather data etc).These Big Data sources have been available for some years, but it is not until recently that hardware, data communication and merging possibilities enable full potential for a revolution of new applications.
In the EFFORTE proposal we have identified three main subjects that have specific importance for efficiency, productivity and environmental concern in forest practice. Two of these implies to increasing crucial knowledge and the third, Big Data applications, combines the new knowledge with high resolution information sources into practice increasing efficiency in forest management and the connected value chains. The main objectives of EFFORTE are: i) To develop scientifically firm and techno-economically feasible methodology to predict trafficability prior to forest operations. ii) To increase forest growth and productivity of tree planting and young stand management iii) To develop, customize and pilot modern ‘Big data’ solutions that will increase productivity and decrease negative environmental impact (e.g. soil, water and reduced fuel consumption). By EFFORTE we expect to make difference in efficiency, productivity and sustainability for a growing Bio-based economy in Europe.
Fields of science
Not validated
Not validated
- engineering and technologyenvironmental engineeringecosystem-based managementecological restoration
- natural sciencescomputer and information sciencesdata sciencebig data
- agricultural sciencesagriculture, forestry, and fisheriesforestrysilviculture
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- agricultural sciencesagriculture, forestry, and fisheriesagriculturehorticulturearboriculture
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
00790 Helsinki
Finland
See on map
Participants (22)
80130 Joensuu
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
77420 Champs Sur Marne
See on map
02020 METSA
See on map
75183 Uppsala
See on map
01300 Vantaa
See on map
00100 Helsinki
See on map
750 07 Uppsala
See on map
00180 Helsinki
See on map
3003 Bern
See on map
88000 Epinal
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
94704 MAISONS ALFORT CEDEX
See on map
51520 Saint Martin Sur Le Pre
See on map
19104 Brive La Gaillarde
See on map
G66 3UA Glasgow
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
75009 Paris
See on map
851 88 Sundsvall
See on map
114 84 Stockholm
See on map
105 22 Stockholm
See on map
79180 Falun
See on map
FK5 4NQ Larbert
See on map
35189 Vaxjo
See on map
302 31 Halmstad
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.