Applications of Advanced Technologies for Improved Precision in Forest Operations

Dear Colleagues,

Forest operations have undergone profound transformations with the integration of advanced technologies to achieve superior precision in decision making. Sensing technologies like lidar, stereo cameras, and radar are crucial to this evolution, collectively contributing to a heightened perception of the forest environment. Lidar's laser-based mapping capabilities provide intricate details about the topography and tree structure, while stereo cameras and radar offer depth information, adding layers of intricacy to spatial understanding and further refining the comprehension of the forest's composition. In tandem with these sensing technologies, advanced global navigation satellite systems (GNSS) ensure the precise location tracking of machines, trees, and infrastructure, forming a foundational element of efficient forest management. The synergy extends to robotic systems and autonomous vehicles that leverage these precise measurements to navigate and operate seamlessly within the forest terrain. Advanced location and path algorithms further optimize operations, enabling vehicles to adapt dynamically to changing conditions. Moreover, the integration of tree machine learning (ML) and artificial intelligence (AI) detection algorithms enhances the specificity of data, enabling targeted assessments of individual trees. This integration of precise positioning technology improves the efficiency of harvesting, transport, and road operations and facilitates better planning and management by providing real-time spatial data. In addition, this holistic integration of technologies marks a paradigm shift towards precision, efficiency, sustainability, and harmonious coexistence between technological advancements and delicate forest ecosystems. 

Potential topics include, but are not limited to:

• Use of sensing technology (e.g., lidar, depth/RGB cameras, radar) for improved forest operations
• ML and AI algorithms and applications for tree detection and mapping of the forest operations environment
• Applications of advanced technologies for the location of machines, trees, and infrastructure
• Planning of operations using remote and short-range sensing technology and optimization algorithms
• Impact of driver-assisting sensing technologies on productivity and safety
• Robotic systems and autonomous vehicles guided by sensors

Prof. Dr. Mauricio Acuna
Dr. Kari Väätäinen
Prof. Dr. Thomas Purfürst
Guest Editors

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• sensing technologies
• AI, ML, and optimization algorithms in forest operations
• location of trees and harvesting equipment
• forest operations planning using sensing technologies
• driver-assistance sensing technologies
• robotic systems and autonomous vehicles