Use of Bluetooth low energy and ultra-wideband sensor systems to detect people in forest operations danger zones DOI Creative Commons
Ferdinand Hönigsberger, Christoph Gollob, Thomas Varch

et al.

International Journal of Forest Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 13

Published: Dec. 19, 2024

Forests are challenging workplace environments with rugged and steep terrains large danger zones obscured by dense forest stands. Additionally, there often restrictions on mobile communication networks, the Internet, or Global Navigation Satellite Systems (GNSS) reception. Therefore, technologies supporting detection of people in have not been broadly applied forestry. During field test, two prototypes enabling via ultra-wideband (UWB) Bluetooth low energy (BLE) were evaluated. The precision, accuracy, distance, rates determined. Furthermore, influence line sight, that is, visual path between points, was considered. With an overall Distance Bias 0.44 m RMSE 1.52 m, UWB sensor allowed precise within zones, 30 (mean 28.4 m; 90% CI: 22.33–30.00 m) 50 43.9 36.81–49.63 m); therefore, it is well suited for use during felling a chainsaw. BLE presence even at greater distances 83.66 62.45–103.05 would be suitable fully mechanized timber harvesting. However, sensors still lack ability to determine distances.

Language: Английский

Human-Centered AI in smart farming: Towards Agriculture 5.0 DOI Creative Commons
Andreas Holzinger, Iztok Fister, Iztok Fister

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 62199 - 62214

Published: Jan. 1, 2024

Language: Английский

Citations

33

Enhancing trust in automated 3D point cloud data interpretation through explainable counterfactuals DOI Creative Commons
Andreas Holzinger, Niko Lukač,

Dzemail Rozajac

et al.

Information Fusion, Journal Year: 2025, Volume and Issue: unknown, P. 103032 - 103032

Published: Feb. 1, 2025

Language: Английский

Citations

1

Simulating cable corridors based on terrestrial LiDAR data DOI Creative Commons
Carl Orge Retzlaff, Christoph Gollob, Arne Nothdurft

et al.

European Journal of Forest Research, Journal Year: 2024, Volume and Issue: 143(4), P. 1083 - 1095

Published: March 26, 2024

Abstract This article introduces a new basis for optimising cable corridor layouts in timber extraction on steep terrain by using digital twin of forest. Traditional approaches generating rely less accurate contour maps, which can lead to infeasible supports, undermining confidence the generated layouts. We present detailed simulational approach uses high-resolution tree maps and models compute realistic representations all possible corridors given terrain. applied established methods forestry feasible designated area, including rope deflection, determining sufficient anchors placing intermediate supports where necessary. The proposed individual trajectories form foundation an optimised overall layout that enables reduction installation operation costs promotes sustainable practices As next step we aim mathematically optimise based multiple criteria (cost, ergonomic aspects, ecological aspects), integrate results into user-friendly workflow.

Language: Английский

Citations

6

MASFNet: Multi-level attention and spatial sampling fusion network for pine wilt disease trees detection DOI Creative Commons
Dong Ren, Meng Li,

Ziyu Hong

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 170, P. 113073 - 113073

Published: Jan. 1, 2025

Language: Английский

Citations

0

Advances in Laser Scanning to Assess Carbon in Forests: From Ground-Based to Space-Based Sensors DOI
Nicholas C. Coops, Liam Irwin, Harry Seely

et al.

Current Forestry Reports, Journal Year: 2025, Volume and Issue: 11(1)

Published: Jan. 22, 2025

Language: Английский

Citations

0

Long-term effects of post-earthquake landslides on vegetation ecosystem net carbon DOI Creative Commons

Wen He,

Baofeng Di,

Shaolin Wu

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113170 - 113170

Published: Feb. 1, 2025

Language: Английский

Citations

0

Leaf area index (LAI) prediction using machine learning and UAV based vegetation indices DOI
Saddam Hussain, Fitsum T. Teshome, Boaz B. Tulu

et al.

European Journal of Agronomy, Journal Year: 2025, Volume and Issue: 168, P. 127557 - 127557

Published: March 11, 2025

Language: Английский

Citations

0

An energy-efficient obstacle-crossing control framework for quadruped robots DOI Creative Commons
Han Jiang, Biao Wan, Yilin Zheng

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104661 - 104661

Published: March 1, 2025

Language: Английский

Citations

0

China Certified Emission Reduction Projects: Historical and Current Status, Development, and Future Prospects—Taking Forestry Projects as an Example DOI Open Access

Zhisheng Liang,

Shuhong Wu,

Youjun He

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3284 - 3284

Published: April 8, 2025

China has developed its own “CDM”, i.e., the Certified Emission Reduction (CCER) scheme. International carbon organizations and individuals are interested in CCER mechanism. We searched “CCER” web of science and, unfortunately, found no previously published studies that provide a detailed description CCER, especially forestry projects. This paper reviews history, development, current status introduced components program, including methodology system, registration trading DOEs. In addition, we further development process, project design, validation registration, implementation, monitoring, emission reduction accounting, verification, registration. Recommendations proposed, expanding methodologies, incorporating advanced technologies, optimizing monitoring frameworks, pursuing international collaboration. study provides policy technical guidance for sustainable China’s forest market.

Language: Английский

Citations

0

Assessment of mangrove health based on pressure–state–response framework in Guangxi Beibu Gulf, China DOI Creative Commons
Bo Zhang, Li Zhang, Bowei Chen

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112685 - 112685

Published: Oct. 1, 2024

Language: Английский

Citations

3