Ondrej Vacek
Papers
1
Total Citations
7
H-Index
1
About
Ondrej Vacek is a leading researcher in forestry digitalization and wood science, with a focus on leveraging computed tomography (CT) imaging for automated log analysis. His work centers on developing intelligent systems for wood species classification and pith detection, directly addressing the industry's need for real-time, non-destructive evaluation of timber. Vacek's most cited paper, "Automatic Wood Species Classification and Pith Detection in Log CT Images" (2024, 7 citations), showcases his contributions to the National Forest Centre’s unique 3D CT scanner at the Stráž Biotechnology Park in Slovakia. This pioneering system generates detailed 3D models of logs, enabling automated quality assessment and species identification—a critical step toward full digitalization in forestry. By integrating computer vision and machine learning, Vacek’s work enhances processing efficiency and resource optimization, with potential applications in sustainable forest management and timber industry automation. His research stands out for its practical impact, bridging advanced imaging technology with real-world forestry challenges, and positions him as a key innovator in the field of wood science and industrial digitalization.
Research Focus
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Top Papers
- 1