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Granted funding - Research.fi - 18 results
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Displaying results 1 - 10 / 18
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Granted funding
Funder
Recipient
Starting year
Advanced Laser Scanning for Enhanced Wood Quality Mapping and Value Chain Optimization (Forest2Factory)
Research Council of Finland
Helsingin yliopisto
2025
DIGITAL TWINS AND ONTOLOGY FOR ROBOT ASSISTED DECOMMISSIONING OPERATIONS DORADO
European Union
VTT Technical Research Centre of Finland Ltd
2024
Gamified augmented reality applications for observing trees and forests using LiDAR
Research Council of Finland
Tampereen yliopisto
2024
Gamified augmented reality applications for observing trees and forests using LiDAR
Research Council of Finland
Itä-Suomen yliopisto
2024
Autonomous drone solutions for single tree-based forest management
Research Council of Finland
Maanmittauslaitos
2024
Continuums Of Game NETs: swarm intelligence as information processing (CoGNETs)
European Union
VTT Technical Research Centre of Finland Ltd
2024
Mapping of forest health, species and forest fire risks using Novel ICT Data and Approaches
Research Council of Finland
Maanmittauslaitos
2021
MULTISPECTRAL INTELLIGENT VISION SYSTEM WITH EMBEDDED LOW-POWER NEURAL COMPUTING
European Union
Kovilta Oy; VTT Technical Research Centre of Finland Ltd
2021
Autonomous
Point
Cloud
s
Innovaatiorahoituskeskus Business Finland
National Land Survey of Finland
2020
Understanding Wood Density Variation Within and Between Trees Using Multispectral
Point
Cloud
Technologies and X-ray microdensitometry
Research Council of Finland
Maanmittauslaitos
2020
Advanced Laser Scanning for Enhanced Wood Quality Mapping and Value Chain Optimization (Forest2Factory)
2025
DIGITAL TWINS AND ONTOLOGY FOR ROBOT ASSISTED DECOMMISSIONING OPERATIONS DORADO
2024
Gamified augmented reality applications for observing trees and forests using LiDAR
2024
Gamified augmented reality applications for observing trees and forests using LiDAR
2024
Autonomous drone solutions for single tree-based forest management
2024
Continuums Of Game NETs: swarm intelligence as information processing (CoGNETs)
2024
Mapping of forest health, species and forest fire risks using Novel ICT Data and Approaches
2021
MULTISPECTRAL INTELLIGENT VISION SYSTEM WITH EMBEDDED LOW-POWER NEURAL COMPUTING
2021
Autonomous
Point
Cloud
s
2020
Understanding Wood Density Variation Within and Between Trees Using Multispectral
Point
Cloud
Technologies and X-ray microdensitometry
2020
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