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arxiv: 2605.28883 · v1 · pith:C7WGSEBXnew · submitted 2026-05-26 · 💻 cs.AI · cs.RO

Ultra-Reduced-Impact-Encased-Logging (URIEL): propose a new method for selective sustainable logging and post-harvest silvicultural treatment in tropical forest using airborne robotics systems

Pith reviewed 2026-06-29 16:31 UTC · model grok-4.3

classification 💻 cs.AI cs.RO
keywords sustainable loggingtropical forestsheli-loggingdrone roboticsreduced impact loggingecosystem serviceseconomic feasibilitydeforestation
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The pith

URIEL combines helicopter logging with drones and AI to allow timber extraction while virtually eliminating collateral damage in tropical forests.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper introduces the URIEL method as a way to perform selective logging in tropical forests using airborne robotics. It integrates heli-logging techniques with robotics, AI, and drone-based post-harvest treatments to reduce the environmental impact of logging. Digital simulations and economic analyses for different helicopter-timber distances indicate high economic viability. The approach is said to virtually eliminate collateral damage while preserving ecosystem services. Real-world implementation would require coordination among technology providers, governments, logging firms, and local communities.

Core claim

This paper proposes the Ultra-Reduced-Impact-Encased-Logging (URIEL) method for tropical forests. The method is based on heli-logging techniques combined with intensive use of robotics and AI integrated with post-harvest silvicultural treatments performed by drones. A digital proof of concept was developed, dimensions determined, details completed, and an effective digital simulation and economic feasibility analysis carried out for various helicopter-timber-distance combinations. The results demonstrated that the URIEL method has high economic viability and makes it possible to virtually eliminate collateral damage to forests while maintaining ecosystem services.

What carries the argument

The URIEL method, which uses helicopter-based timber extraction combined with drone robotics and AI for selective logging and post-harvest silvicultural treatments.

If this is right

  • The URIEL method demonstrates high economic viability through digital simulations.
  • It virtually eliminates collateral damage to forests.
  • It maintains ecosystem services during logging operations.
  • Feasibility depends on integration of high-tech industry, political governments, certified logging companies, and native populations.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Field trials could validate the simulation results in actual tropical forest conditions.
  • The method might reduce overall deforestation rates if scaled with policy support.
  • Integration with existing certification schemes could accelerate adoption by logging companies.

Load-bearing premise

The digital proof-of-concept simulation and economic feasibility analysis for various helicopter-timber-distance combinations accurately predict real-world performance, equipment integration, and environmental outcomes without physical prototypes or field validation.

What would settle it

Conducting a physical prototype test in a tropical forest and measuring actual collateral damage, economic costs, and ecosystem impacts to compare against the simulation predictions.

Figures

Figures reproduced from arXiv: 2605.28883 by Admilson \'Irio Ribeiro, Alessandra Maia Freire, Alfeu J. Sguarezi Filho, Am\'erico Ferraz Dias Neto, Angel Pontin Garcia, Artur Vit\'orio Andrade Santos, Cl\'audio Kiyoshi Umezu, Daniela Han, Daniel Albiero, Fl\'avio Roberto de Freitas Gon\c{c}alves, Francesco Toscano, Gelton Fernando de Morais, Mateus Peressin, Wesllen Lins de Ara\'ujo.

Figure 13
Figure 13. Figure 13: Location of the study area: Tapajós-Arapiuns Extractive Reserve. Sources: Adapted [117,118]. Approximately 34% of the Tapajós-Arapiuns RESEX area is located in the Municipality of Aveiro/PA, which corresponds to approximately 194,283 ha, and the remaining 66% is located in the Municipality of Santarém/PA, equivalent to 453,327 ha. The Tapajós-Arapiuns RESEX is bordered by the Arapiuns, Maró, and Mentae ri… view at source ↗
Figure 16
Figure 16. Figure 16: Handroanthus impetiginosus [130] [PITH_FULL_IMAGE:figures/full_fig_p015_16.png] view at source ↗
Figure 17
Figure 17. Figure 17: Geographic area of occurrence of Handroanthus impetiginosus. Source: Adapted [129] [PITH_FULL_IMAGE:figures/full_fig_p016_17.png] view at source ↗
Figure 18
Figure 18. Figure 18: Hymenaea courbaril [132] [PITH_FULL_IMAGE:figures/full_fig_p018_18.png] view at source ↗
Figure 19
Figure 19. Figure 19: Geographic area of occurrence of Hymenaea courbaril. Source: Adapted [133] [PITH_FULL_IMAGE:figures/full_fig_p019_19.png] view at source ↗
Figure 20
Figure 20. Figure 20: Boeing CH-47 Chinook on-the-go [145]. Sikorsky CH-53 Stallion, [PITH_FULL_IMAGE:figures/full_fig_p024_20.png] view at source ↗
Figure 1
Figure 1. Figure 1: Flowchart of the harvesting process with a URIEL. [PITH_FULL_IMAGE:figures/full_fig_p032_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Harvesting Module: 1-stabilization subsystem; 2-decoupling subsystem; 3-stem cutting subsystem. The stabilization subsystem, Figures 3 a) and b), consists of a rectangular frame with longitudinal and transverse rails supporting three locomotion systems with metal wheels driven by electric motors. This frame is supported by four steel bars that converge at a vertex, the top of which has a rotator with one d… view at source ↗
Figure 3
Figure 3. Figure 3: Stabilization subsystem. a) Top view: 1-Rotation pivot for transport position; 2-Electric rotator; 3-Support rods; 4-Frame; 5-Pulley bridge movement rail; 6-Overhead crane; 7-Longitudinal displacement wheel assembly. b) Bottom view: 8-Battery chassis, reducer and electric motor; 9- Stabilizing pulley 1; 10-Stabilizing cable 1; 11-Stabilizing pulley 3; 12-Stabilizing pulley 2; 13-Stabilizing cable 2; 14-Sta… view at source ↗
Figure 4
Figure 4. Figure 4: Decoupling subsystem: A; Gripper subassembly; B-Load/alignment subassembly; C-Rotation and support subassembly. The stem cutting subsystem, [PITH_FULL_IMAGE:figures/full_fig_p038_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Stem cutting subsystem: A) Stem walking subassembly; [PITH_FULL_IMAGE:figures/full_fig_p040_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Flowchart of the HST process with a URIEL. [PITH_FULL_IMAGE:figures/full_fig_p040_6.png] view at source ↗
Figure 8
Figure 8. Figure 8: URIEL transport pod. Front view a): 1-MHST transport section; 2-MH transport section; 3- Structural chassis spar; 4-Aerodynamic cone. Ventral view of complete assembly b): 1-URIEL control station; 2-Front landing gear retracted; 3-Harvesting module (MH); 4-Silvicultural treatment module (MHST); 5-Rear landing gear retracted; 6-Main chassis spar [PITH_FULL_IMAGE:figures/full_fig_p047_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: Ground movement simulation of the URIEL Pod with coupling to a Mi [PITH_FULL_IMAGE:figures/full_fig_p050_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: URIEL system arriving at the target area: a) URIEL system entering the forest; [PITH_FULL_IMAGE:figures/full_fig_p051_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: MH module on-the-go: a) MH module about to close on the trunk; b) MH attached to the trunk; c) Decoupling of the decoupling subsystem from the trunk cutting subsystem; d) URIEL system maneuvering to raise the crown and stabilization subsystem performing compensatory force operations to stabilize the cut crown; e) URIEL system moving the crown to the encapsulated crown deposition site on the forest floor; … view at source ↗
Figure 12
Figure 12. Figure 12: MHST module on-the-go: a) Launch of the drone squadron for area clearing (vine cutting drone, secondary tree cutting drone, and tree girdling drone); b) View from the URIEL Pod of the drone squadrons in operation; c) Perspective view of the drones returning to the URIEL Pod. Harvesting cycle time (approach, coupling, decoupling, encapsulation, recoupling, stem cutting) and post-harvesting silvicultural tr… view at source ↗
Figure 11
Figure 11. Figure 11: Flowchart of the harvesting process with a URIEL. [PITH_FULL_IMAGE:figures/full_fig_p113_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: Harvesting Module: 1-stabilization subsystem; 2-decoupling subsystem; 3-stem cutting subsystem. The stabilization subsystem, Figures 13 a) and b). consists of a rectangular frame with longitudinal and transverse rails that support three locomotion systems with metal wheels driven by electric motors. This frame is supported by four steel bars that converge at a vertex, the top of which has a rotator with o… view at source ↗
Figure 13
Figure 13. Figure 13: Stabilization subsystem. a) Top view: 1-Rotation pivot for transport position; 2-Electric rotator; 3-Support rods; 4-Frame; 5-Pulley bridge movement rail; 6-Overhead crane; 7-Longitudinal displacement wheel assembly. b) Bottom view: 8-Battery chassis, reducer and electric motor; 9- Stabilizing pulley 1; 10-Stabilizing cable 1; 11-Stabilizing pulley 3; 12-Stabilizing pulley 2; 13-Stabilizing cable 2; 14-St… view at source ↗
Figure 14
Figure 14. Figure 14: Decoupling subsystem: A; Gripper subassembly; B [PITH_FULL_IMAGE:figures/full_fig_p121_14.png] view at source ↗
Figure 15
Figure 15. Figure 15: Subassemblies of the decoupage system. a) Rotation and support subassembly: 55 [PITH_FULL_IMAGE:figures/full_fig_p124_15.png] view at source ↗
Figure 16
Figure 16. Figure 16: Rigid main chassis. a) Front view: 36-Left pulley of the upper handle clamping cable; 37- Upper handle clamping cable conductor; 38-Rigid main chassis; 39-Main magnetic cannon; 40-Left pulley of the lower handle clamping cable; 41-Lower handle clamping cable conductor; 42-Right pulley of the lower hook clamping cable; 43-Right pulley of the upper hook clamping cable. b) Rear view: 48- Right beam of the ri… view at source ↗
Figure 17
Figure 17. Figure 17: A) Load/Alignment Subassembly: 27-Port/Starboard Magnetic Cannons; 28-High-Capacity Chain; 29-Upper Support Carriage; 30-Chain Rigidity Tube; 31-Bow/Stern Magnetic Cannons; 32-Chain Gear for Carriage Lifting and Rigid Chain/Rigidity Tube Flexion Locking; 33-Loop Coupling of the Load/Alignment Subassembly with the Main Rigid Subassembly. b) Magnetic Cannon: 34-Alignment Steel Cable Pulley; 35-Electric Moto… view at source ↗
Figure 18
Figure 18. Figure 18: Stem cutting subsystem: A) Stem walking subassembly; B: cutting subassembly and C) [PITH_FULL_IMAGE:figures/full_fig_p129_18.png] view at source ↗
Figure 20
Figure 20. Figure 20: Shaft travel subsystem. Front view a): 70 [PITH_FULL_IMAGE:figures/full_fig_p132_20.png] view at source ↗
Figure 21
Figure 21. Figure 21: Branch removal system. Front view a): 88-Torque bracket for linear actuator; 90-High-force linear actuator; 91-Linear actuator supporting the branch removal blade; 92-Linear actuator for angling the branch removal blade; 93-High-torque, high-speed electric motor; 94-Right main chassis bar; 95- Structural supports for linear actuators. Rear view: 80-Left main chassis bar; 81-Pressing gripper; 82- Bullet re… view at source ↗
Figure 22
Figure 22. Figure 22: Stem cutting system: 130-Chainsaw bar; 131-High torque and high rotation electric motor; 132-Chainsaw transport trolley; 134-Wheels with electric motors in the hubs; 135-Trolley locomotion rail. Harvesting Silvicultural Treatments Module Considering the process flowchart, [PITH_FULL_IMAGE:figures/full_fig_p135_22.png] view at source ↗
Figure 23
Figure 23. Figure 23: Flowchart of the HST process with a URIEL [PITH_FULL_IMAGE:figures/full_fig_p135_23.png] view at source ↗
Figure 24
Figure 24. Figure 24: Drone carrier system. Open star a): 1-Planting drone; 2-Filling drone; 3-Liana cutting drone; 4-Girdling drone; 5-Secondary tree cutting drone; 6-Irrigation drone; 7-Hexagonal drone carrier chassis. Closed star b): 1-Hexagonal star chassis; 2-Perimeter of the open star. c) Drone movement system between closed and open positions and vice versa: 1-Wheels with electric motors in the hubs; 2- Movement trolley… view at source ↗
Figure 26
Figure 26. Figure 26: Secondary tree cutting drone. Front view a): 1 [PITH_FULL_IMAGE:figures/full_fig_p144_26.png] view at source ↗
Figure 27
Figure 27. Figure 27: Girdling (ringing) drone. Front view a): 1-Electric motor; 2-Drone; 3-9-axis robotic arm; 4- Third ball joint of the robotic arm; 5-Ringing system; 6-Coupling mast; 7-Coupling mast fixed to the drone. Detail of the ringing system b): 4-Third ball joint of the robotic arm; 8-Circular electric actuator for deflecting the ringing saws; 9-Support chassis for the ringing saws; 10-Lower ringing saw; 11-Upper ri… view at source ↗
Figure 28
Figure 28. Figure 28: Burrowing drone. Front view a): 1-Electric motor; 2-Drone; 3-Coupling mast; 4-Coupling mast fixed to the drone; 5-Helical borehole drill; 6-Borrowing chassis [PITH_FULL_IMAGE:figures/full_fig_p147_28.png] view at source ↗
Figure 29
Figure 29. Figure 29: Planting drone. Front view a): 1-Electric motor; 2-Drone; 3-Planting module; 4-Coupling mast; 5-Coupling mast fixed to the drone [PITH_FULL_IMAGE:figures/full_fig_p148_29.png] view at source ↗
Figure 32
Figure 32. Figure 32: URIEL transport pod. Ventral view a): 7-Open fuselage, rear section of the transport pod; 8- Rear landing gear; 9-Right hatch; 10-Aerodynamic cone; 11-Front landing gear; 12-Chassis, rear section. Structural detail of the pod b): 16-URIEL system command post, note that it is oriented towards the modules; 17-Front landing gear retracted; 18-Chassis spar; 19-Rear landing gear retracted. URIEL landing config… view at source ↗
Figure 33
Figure 33. Figure 33: Complete configuration of the URIEL System. Ventral view of complete assembly a): 1 [PITH_FULL_IMAGE:figures/full_fig_p155_33.png] view at source ↗
Figure 34
Figure 34. Figure 34: URIEL Command Post: 23-Command center stabilizer support; 24-Command chair; 25- Command console; 26-Remote helicopter control stick (pull stick = ascend vertically; push stick = descend vertically); tilt stick transversely (tilt forward = move forward and tilt backward = move backward); rotate stick on axis (lateral tilt of helicopter); 27-Command post rotation pivot, 720° range; 28-Rudder pedals (rotatio… view at source ↗
Figure 35
Figure 35. Figure 35: Ground movement simulation of the URIEL Pod docking with a Mi-26: a) URIEL Pod moving from the hangar to the helipad; b) Detail of the battery pack attached to the URIEL Pod powering the systems and traction sources; c) URIEL Pod maneuvering to align with the helipad, note the steered nose landing gear; d) URIEL Pod aligned in flight position on the helipad, note the power pack being removed from the dock… view at source ↗
Figure 36
Figure 36. Figure 36: URIEL system arriving at the target area: a) URIEL system entering the forest; b) Location and [PITH_FULL_IMAGE:figures/full_fig_p165_36.png] view at source ↗
Figure 37
Figure 37. Figure 37: Penetration operation in the canopy and MH approach operation to the trunk: a) X-ray view of the URIEL pod, note the command post oriented towards the target tree; b) MH module performing penetration into the upper canopy of the target; c) X-ray view of the upper canopy of the target being penetrated by the delimbing blades, note cut branches falling below the MH; d) MH module launching a steel dart for t… view at source ↗
Figure 38
Figure 38. Figure 38: MH Module on-the-go: a) MH Module about to close on the trunk; b) MH attached to the trunk; c) View of the MH Module attached to the trunk, note the loose steel cables stabilizing the Pod; d) Decoupling of the decoupling subsystem from the trunk cutting subsystem; e) Perspective view of the trunk cutting subsystem descending to the base of the tree; f) Decoupling system cutting the crown and securing the … view at source ↗
Figure 39
Figure 39. Figure 39: MHST on-the-go module: a) Drone squadron launching for area clearing (vine cutting drone, secondary tree cutting drone, and tree girdling drone); b) Travel below the level of the URIEL Pod by the clearing squadron drones; c) Clearing squadron performing vine cutting, secondary tree cutting, and tree girdling actions; d) View from the URIEL Pod of the clearing squadron operating in the clearing formed by t… view at source ↗
Figure 40
Figure 40. Figure 40: URIEL go home system with harvested stem. [PITH_FULL_IMAGE:figures/full_fig_p196_40.png] view at source ↗
read the original abstract

Tropical forests worldwide are under intense deforestation pressure driven by economic and political interests, and scientific evidence suggests this deforestation contributes to climate change. This paper proposes a novel logging method for tropical forests, Ultra-Reduced-Impact-Encased-Logging (URIEL). This new method is based on heli-logging techniques combined with intensive use of robotics and AI integrated with post-harvest silvicultural treatments performed by drones. The concept of appropriate equipment for this method was developed, dimensions were determined, details were completed in a digital proof of concept, and an effective digital simulation and economic feasibility analysis were carried out for various helicopter-timber-distance combinations. The results demonstrated that a URIEL method has high economic viability and makes it possible to virtually eliminate collateral damage to forests while maintaining ecosystem services. The main conclusion of this paper is that, despite the satisfactory scientific and technological results, the feasibility of a Uriel method depends on the integration of stakeholders intrinsic to the context: high-tech industry; political governments; certified logging companies; and native populations.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The manuscript proposes Ultra-Reduced-Impact-Encased-Logging (URIEL), a novel method integrating heli-logging techniques with airborne robotics, AI, and drone-based post-harvest silvicultural treatments for selective sustainable logging in tropical forests. Equipment concepts are developed and detailed in a digital proof-of-concept; digital simulation and economic feasibility analysis are performed across helicopter-timber-distance combinations. The results are presented as demonstrating high economic viability and the virtual elimination of collateral damage while maintaining ecosystem services. Feasibility ultimately hinges on integration among high-tech industry, governments, certified logging companies, and native populations.

Significance. If the simulation outcomes hold, URIEL could offer a meaningful contribution to reducing deforestation impacts in tropical forests by combining established heli-logging with robotics for lower collateral damage and preserved ecosystem services. The proposal's focus on stakeholder integration addresses real-world deployment barriers beyond technical feasibility.

major comments (2)
  1. [Abstract] Abstract: The central claims of 'high economic viability' and the ability to 'virtually eliminate collateral damage' rest on results from a 'digital simulation and economic feasibility analysis,' yet the abstract (and by extension the manuscript) supplies no methodology details, input data, model assumptions, error estimates, or validation steps. Without these, the quantitative outcomes cannot be evaluated against real canopy heterogeneity, robotic positioning error, or extraction forces.
  2. [Simulation and Economic Analysis] Simulation and Economic Analysis: The reported outcomes of near-zero collateral damage and viability across helicopter-timber-distance combinations are presented without calibration data, sensitivity analysis to parameter uncertainty, or comparison to physical benchmarks. This directly undermines the load-bearing assertion that the method 'makes it possible to virtually eliminate collateral damage,' as the simulation's fidelity to field conditions remains unaddressed.
minor comments (2)
  1. [Title] Title: The phrasing 'propose a new method' is grammatically inconsistent with a declarative title; rephrasing for clarity would improve readability.
  2. [Conclusion] Conclusion: Inconsistent capitalization of 'Uriel' versus 'URIEL' appears in the final paragraph.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the thorough and constructive review of our manuscript on the URIEL method. The comments highlight important areas for clarification regarding the simulation and economic analysis, which we address point by point below.

read point-by-point responses
  1. Referee: [Abstract] Abstract: The central claims of 'high economic viability' and the ability to 'virtually eliminate collateral damage' rest on results from a 'digital simulation and economic feasibility analysis,' yet the abstract (and by extension the manuscript) supplies no methodology details, input data, model assumptions, error estimates, or validation steps. Without these, the quantitative outcomes cannot be evaluated against real canopy heterogeneity, robotic positioning error, or extraction forces.

    Authors: We agree that the abstract, as a concise summary, omits these specifics, and the manuscript text provided does not include explicit methodology, input data, assumptions, error estimates, or validation. The paper describes a digital proof-of-concept and analysis but does not detail them. In revision, we will expand the abstract to reference key methodological elements and add a dedicated section on the simulation setup, including assumptions, data sources, and limitations. revision: yes

  2. Referee: [Simulation and Economic Analysis] Simulation and Economic Analysis: The reported outcomes of near-zero collateral damage and viability across helicopter-timber-distance combinations are presented without calibration data, sensitivity analysis to parameter uncertainty, or comparison to physical benchmarks. This directly undermines the load-bearing assertion that the method 'makes it possible to virtually eliminate collateral damage,' as the simulation's fidelity to field conditions remains unaddressed.

    Authors: The simulation is presented as a digital proof-of-concept to illustrate potential outcomes rather than a fully calibrated field-validated model. We acknowledge the absence of calibration data, sensitivity analysis, and physical benchmarks in the current manuscript, which limits evaluation of fidelity to real conditions. We will revise to include a sensitivity analysis where feasible, explicitly state assumptions and limitations, and clarify that full physical benchmarking is outside the scope of this conceptual proposal. The claim of virtual elimination of collateral damage will be tempered to reflect the idealized nature of the simulation. revision: partial

Circularity Check

0 steps flagged

No circularity: proposal rests on simulation outputs with no equations, fitted parameters, or self-referential derivations

full rationale

The manuscript is a forward-looking proposal for URIEL that develops equipment concepts, performs a digital proof-of-concept, runs simulations across helicopter-timber-distance combinations, and reports economic viability plus near-zero collateral damage. No equations, parameter-fitting steps, uniqueness theorems, or ansatzes appear in the provided text. The simulation outputs are treated as direct evidence rather than being redefined or forced by construction from the same inputs. Self-citation load-bearing is absent. This matches the default non-circular case for a conceptual/methods paper whose central claims are simulation-derived rather than algebraically self-referential.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The central claim rests on the untested premise that digital simulations of equipment concepts and operations will translate directly to real tropical forest conditions and stakeholder contexts.

axioms (1)
  • domain assumption Digital simulations of helicopter-timber distances and drone-based treatments accurately forecast real-world economic viability and collateral damage levels.
    Invoked when the abstract states that simulation results demonstrate high viability and virtual elimination of damage.

pith-pipeline@v0.9.1-grok · 5820 in / 1403 out tokens · 72897 ms · 2026-06-29T16:31:38.007818+00:00 · methodology

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Reference graph

Works this paper leans on

179 extracted references · 12 canonical work pages

  1. [1]

    Smith, C., Baker, J. C. A. & Spracklen, D. V. Tropical deforestation causes large reductions in observed precipitation. Nature 615, 270–275 (2023)

  2. [2]

    Mitchard, E. T. A. The tropical forest carbon cycle and climate change. Nature vol. 559 527–534 Preprint at https://doi.org/10.1038/s41586-018-0300-2 (2018)

  3. [3]

    Flores, B. M. et al. Critical transitions in the Amazon forest system. Nature 626, 555–564 (2024)

  4. [4]

    Yamada, Y. et al. Conflicts among ecosystem services may depend on environmental awareness: a multi-municipality analysis. Forestry 97, 424–435 (2024)

  5. [5]

    Schaaf, A. A. et al. Influence of logging on nest density and nesting microsites of cavity -nesting birds in the subtropical forests of the Andes. Forestry 95, 73–82 (2022)

  6. [6]

    & Grigolato, S

    Udali, A., Chung, W., Talbot, B. & Grigolato, S. Managing harvesting residues: a systematic review of management treatments around the world. Forestry: An International Journal of Fo rest Research https://doi.org/10.1093/forestry/cpae041 (2024) doi:10.1093/forestry/cpae041

  7. [7]

    Angelstam, P. et al. Knowledge production and learning for sustainable forest management on the ground: Pan-European landscapes as a time machine. Forestry 84, 581–596 (2011)

  8. [8]

    & Quine, C

    Fuller, L. & Quine, C. P. Resilience and tree health: A basis for implementation in sustainable forest management. Forestry 89, 7–19 (2016)

  9. [9]

    Peterson, C. J. & Leach, A. D. Salvage logging after windthrow alters microsite diversity, abundance and environment, but not vegetation. Forestry 81, 361–376 (2008). 78

  10. [10]

    L., Smith, N

    Deal, R. L., Smith, N. & Gates, J. Ecosystem services to enhance sustainable forest management in the US: Moving from forest service national programmes to local projects in the P acific Northwest. Forestry 90, 632–639 (2017)

  11. [11]

    Reduced impact logging | ITTO | The International Tropical Timber Organization

    ITTO - International Tropical Timber Organization. Reduced impact logging | ITTO | The International Tropical Timber Organization. https://www.itto.int/sustainable_forest_management/logging/ (2025)

  12. [12]

    E., Sist, P., Fredericksen, T

    Putz, F. E., Sist, P., Fredericksen, T. & Dykstra, D. Reduced -impact logging: Challenges and opportunities. For. Ecol. Manage. 256, 1427–1433 (2008)

  13. [13]

    Putz, F. E. et al. Sustained timber yield claims, considerations, and tradeoffs for selectively logged forests. PNAS Nexus 1, (2022)

  14. [14]

    THE 17 GOALS | Sustainable Development

    ONU. THE 17 GOALS | Sustainable Development. https://sdgs.un.org/goals (2025)

  15. [15]

    & Cockfield, G

    Hari Poudyal, B., Maraseni, T. & Cockfield, G. Evolut ionary dynamics of selective logging in the tropics: A systematic review of impact studies and their effectiveness in sustainable forest management. Forest Ecology and Management vol. 430 166 –175 Preprint at https://doi.org/10.1016/j.foreco.2018.08.006 (2018)

  16. [16]

    M., Garibaldi, J., Toma, T

    Rivero, L., Donagh, P. M., Garibaldi, J., Toma, T. & Cubbage, F. Impacts of conventional and reduced logging on growth and stand composition four years after harvest in a neotropical forest in Misiones, Argentina. Sci. For. 36, 21–31 (2008)

  17. [17]

    West, T. A. P., Vidal, E. & Putz, F. E. Forest biomass recovery after conventional and reduced - impact logging in Amazonian Brazil. For. Ecol. Manage. 314, 59–63 (2014)

  18. [18]

    & Ferreira, F

    Sist, P. & Ferreira, F. N. Sustainability of reduced-impact logging in the Eastern Amazon. For. Ecol. Manage. 243, 199–209 (2007)

  19. [19]

    Medjibe, V. P. & Putz, F. E. Cost comparisons of reduced -impact and conventional logging in the tropics. J. For. Econ. 18, 242–256 (2012)

  20. [20]

    R., Venticinque, E

    Darrigo, M. R., Venticinque, E. M. & Santos, F. A. M. dos. Effects of reduced impact logging on the forest regeneration in the central Amazonia. For. Ecol. Manage. 360, 52–59 (2016)

  21. [21]

    L., Bicknell, J

    Rivett, S. L., Bicknell, J. E. & Davies, Z. G. Effect of reduced-impact logging on seedling recruitment in a neotropical forest. For. Ecol. Manage. 367, 71–79 (2016). 79

  22. [22]

    & Peña-Claros, M

    Schwartz, G., Falkowski, V. & Peña-Claros, M. Natural regeneration of tree species in the Eastern Amazon: Short-term responses after reduced -impact logging. For. Ecol. Manage. 385, 97–103 (2017)

  23. [23]

    & Hampson, A

    Worrell, R. & Hampson, A. The Influence of Some Forest Operations on the Sustainable Management of Forest Soils -a Review . C Imrirmc of Ch»rteml FOTCMOT vol. 70 https://academic.oup.com/forestry/article/70/1/61/541168 (1997)

  24. [24]

    & Chevallier, M

    Sist, P., Fimbel, R., Sheil, D., Nasi, R . & Chevallier, M. H. Towards sustainable management of mixed dipterocarp forests of Southeast Asia: Moving beyond minimum diameter cutting limits. Environ. Conserv. 30, 364–374 (2003)

  25. [25]

    Peña-Claros, M. et al. Beyond reduced -impact logging: Silvicultura l treatments to increase growth rates of tropical trees. For. Ecol. Manage. 256, 1458–1467 (2008)

  26. [26]

    Schwartz, G., Lopes, J. C. A., Mohren, G. M. J. & Peña -Claros, M. Post -harvesting silvicultural treatments in logging gaps: A comparison between enrichme nt planting and tending of natural regeneration. For. Ecol. Manage. 293, 57–64 (2013)

  27. [27]

    Heli-logging - Wikipedia

    Wikipedia. Heli-logging - Wikipedia. https://en.wikipedia.org/wiki/Heli-logging (2025)

  28. [28]

    Helicopter Logging (heli -logging) | Forestry Articles

    forestry.com. Helicopter Logging (heli -logging) | Forestry Articles. https://web.archive.org/web/20090604093745/http://forestry.com/blog/helicopter-logging- heli-logging/ (2008)

  29. [29]

    Stevens, P. M. & Clarke, E. H. 974 USDA FOREST SERVICE GENERAL TECHNICAL REPORT PNW-2 0 HELICOPTERS FOR LOGGING OPERATION, AND. (1974)

  30. [30]

    The International Mountain Logging and 11th Pacific Northwest Skyline Symposium

    Cleaver, D. The International Mountain Logging and 11th Pacific Northwest Skyline Symposium . (2001)

  31. [31]

    Logging Masters: On a heli -logging job with VIH Helicopters - Vertical Mag

    Johnson, O. Logging Masters: On a heli -logging job with VIH Helicopters - Vertical Mag. https://verticalmag.com/features/logging-masters-on-a-heli-logging-job-with-vih-helicopters/ (2021)

  32. [32]

    MacDonald, A. J. . Harvesting Systems and Equipment in British Columbia . (British Columbia, Ministry of Forests, Forest Practices Branch, 1999). 80

  33. [33]

    Aerial Harvesting: Helilogging

    University of British Columbia. Aerial Harvesting: Helilogging. https://frst557.sites.olt.ubc.ca/files/2012/10/Workshop-1c-Aerial1.pdf (2012)

  34. [34]

    & Hui, K

    Chua, D. & Hui, K. 4. Helicopter harvesting in the hill mixed dipterocarp forests of Sarawak. in Applying Reduced Impact Logging to Advance SustainableForest Management (2001)

  35. [35]

    Agricultural Robotics: A Promising Challenge

    Albiero, D. Agricultural Robotics: A Promising Challenge. Current Agriculture Research Journal 7, 01–03 (2019)

  36. [36]

    Reducibility among combinatorial problems

    Albiero, D. Robots and AI: Illusions and Social Dilemmas. https://doi.org/10.1007/978-3-030- 95790-2 (2022) doi:10.1007/978-3-030-95790-2

  37. [37]

    H., Albiero, D

    Vogt, H. H., Albiero, D. & Schmuelling, B. Electric tractor propelled by renewable energy for small- scale family farming. in 2018 13th International Conference on Ecologica l Vehicles and Renewable Energies, EVER 2018 1–4 (Institute of Electrical and Electronics Engineers Inc., 2018). doi:10.1109/EVER.2018.8362344

  38. [38]

    Albiero, D., Paulo, R. L. D., Junior, J. C. F., Santos, J. D. S. G. & Melo, R. P. Agriculture 4.0: a terminological introduction. Revista Ciencia Agronomica 51, (2020)

  39. [39]

    Xavier, R. S. et al. Mechanical properties of lettuce (Lactuca sativa L.) for horticultural machinery design. Sci. Agric. 79, 2022 (2022)

  40. [40]

    Vogt, H. H. et al. Electric tractor system for family farming: Increased autonomy and economic feasibility for an energy transition. J. Energy Storage 40, 102744 (2021)

  41. [41]

    S., Garcia, A

    Albiero, D., Xavier, R. S., Garcia, A. P., Marques, A. R. & Rodrigues, R. L. The technological level of agricultural mechanization in the State of Ceará, Brazil. Engenharia Agricola 39, (2019)

  42. [42]

    Araújo Batista, A. V. et al. Multifunctional Robot at low cost for small farms. Ciencia Rural 47, (2017)

  43. [43]

    & Leme de Paulo, R

    Albiero, D., Pontin Garcia, A., Kiyoshi Umezu, C. & Leme de Paulo, R. Swarm robots in mechanized agricultural operations: A review about challenges for research. Comput. Electron. Agric. 193, 106608 (2022)

  44. [44]

    R., Polania, E

    Fernandes, H. R., Polania, E. C. M., Garcia, A. P., Mendonza, O. B. & Albiero, D. Agricultura l unmanned ground vehicles: A review from the stability point of view. Revista Ciência Agronômica 51, 2020 (2021). 81

  45. [45]

    & Wang, M

    Mao, W., Liu, Z., Liu, H., Yang, F. & Wang, M. Research progress on synergistic technologies of agricultural multi-robots. Applied Sciences (Switzerland) 11, 1–34 (2021)

  46. [46]

    C., Figueiredo, F

    Lima, G. C., Figueiredo, F. L., Barbieri, A. E. & Seki, J. Agro 4.0: Enabling agriculture digital transformation through IoT. Revista Ciencia Agronomica 51, 1–20 (2020)

  47. [47]

    Simionato, R. et al. Survey on connectivity and cloud computing technologies: State -ofthe-art applied to Agriculture 4.0. Revista Ciencia Agronomica 51, 1–19 (2020)

  48. [48]

    Megeto, G. A. S. et al. Artificial intelligence applications in the agriculture 4.0. Revista Ciência Agronômica 51, 2020 (2021)

  49. [49]

    A., Adimari Pavarin, F

    Fracarolli, J. A., Adimari Pavarin, F. F., Castro, W. & Blasco, J. Computer vision applied to food and agricultural products. Revista Ciencia Agronomica 51, 1–20 (2020)

  50. [50]

    Queiroz, D. M. de, Coelho, A. L. de F., Valente, D. S. M. & Schueller, J. K. Sensors applied to Digital Agriculture: A review. Revista Ciencia Agronomica 51, 1–15 (2020)

  51. [51]

    & Schmuelling, B

    Weisbach, M., Fechtner, H., Popp, A., Spaeth, U. & Schmuelling, B. Agriculture 4.0 -A state of the art review focused on electric mobility. Revista Ciencia Agronomica 51, 2–9 (2020)

  52. [52]

    & Nardi, D

    Vanzo, A., Croce, D., Bastianelli, E., Basili, R. & Nardi, D. Grounded language interpretation of robotic commands through structured learning. Artif. Intell. 278, 103181 (2020)

  53. [53]

    Zhu, Y. et al. Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense. Engineering 6, 310–345 (2020)

  54. [54]

    Morales, D. O. et al. Increasing the level of automation in the forestry logging process with crane trajectory planning and control. J. Field Robot. 31, 343–363 (2014)

  55. [55]

    La Hera, P. et al. Exploring the feasibility of autonomous forestry operations: Results from the first experimental unmanned machine. J. Field Robot. 41, 942–965 (2024)

  56. [56]

    Technology Readiness Levels - NASA

    NASA. Technology Readiness Levels - NASA. https://www.nasa.gov/directorates/so md/space- communications-navigation-program/technology-readiness-levels/ (2025)

  57. [57]

    Intellectual Property Handbook

    WIPO. Intellectual Property Handbook. WIPO https://tind.wipo.int/record/28661?v=pdf (2004)

  58. [58]

    Oslo Manual

    OECD. Oslo Manual. OECD https://www.oecd.org/en/publications/oslo-manual- 2018_9789264304604-en.html (2018). 82

  59. [59]

    Apokryphe Evangelien

    Klauck, H.-J. Apokryphe Evangelien. (Loyola, 2007)

  60. [60]

    Wikipedia. Uriel . https://en.wikipedia.org/wiki/Uriel (2025)

  61. [61]

    The Legends of the Jewish People

    Gorion, B. The Legends of the Jewish People. (Perspectiva, 1980)

  62. [62]

    Archangel Uriel

    Occult Encyclopedia. Archangel Uriel. https://www.occult.live/index.php/Archangel_Uriel (2025)

  63. [63]

    Metodologia de Projetos de Produtos Industriais

    Back, N. Metodologia de Projetos de Produtos Industriais. (Guanabara, Rio de Janeiro, 1983)

  64. [64]

    Albiero, D., Maciel, A. J. S., Melo, R. P., Mello, C. A. & Monteiro, L. A. Metod ologias de projeto para máquinas agroecológicas: relatos de experiências. Cadernos de Agroecologia 6, 10 (2011)

  65. [65]

    Albiero, D., Maciel, A. J. S. & Gamero, C. A. Design and development of babaçu (Orbignya phalerata Mart.) harvest for small farms in areas of forests transition of the Amazon. Acta Amazon. 41, (2011)

  66. [66]

    Desenvolvimento e avaliação de maquina multifuncional conservacionista para a agricultura familiar

    Albiero, D. Desenvolvimento e avaliação de maquina multifuncional conservacionista para a agricultura familiar. https://doi.org/10.47749/T/UNICAMP.2010.479958 (2010) doi:10.47749/T/UNICAMP.2010.479958

  67. [67]

    Albiero, D., Maciel, A. J. da S., Milan, M., Monteiro, L. de A. & Mion, R. L. Avaliação da distribuição de sementes por uma semeadora de anel interno rotativo utilizando média móvel exponencial. Revista Ciência Agronômica 43, 86–95 (2012)

  68. [68]

    Mobile Crane/Telescopic Crane

    GROVE. Mobile Crane/Telescopic Crane. GROV https://www.manitowoc.com/grove (2026)

  69. [69]

    Tower Cranes - Construction Cranes

    POTAIN. Tower Cranes - Construction Cranes. POTAIN https://www.manitowoc.com/potain (2026)

  70. [70]

    Lattice Boom Crawler Cranes

    MANITOWOC. Lattice Boom Crawler Cranes. MANITOWO https://www.manitowoc.com/manitowoc (2026)

  71. [71]

    855E Feller Buncher

    Tigercat Inc. 855E Feller Buncher. Tigercat TCI https://www.tigercat.com/product/855e/ (2026)

  72. [72]

    CABEÇOTE DE COLHEITA DE CANA-DE-AÇÚCAR

    UNICAMP. CABEÇOTE DE COLHEITA DE CANA-DE-AÇÚCAR. INPI (2017)

  73. [73]

    Harvester Komatsu 951XC

    Komatsu. Harvester Komatsu 951XC. Komatsu Ltd https://www.komatsuforest.com.br/produtos/harvesters-sobre-rodas/951xc (2026). 83

  74. [74]

    COLHEDORA AUTOMATIZADA PARA PALHAS DE PALMEIRAS

    UNICAMP. COLHEDORA AUTOMATIZADA PARA PALHAS DE PALMEIRAS. (2021)

  75. [75]

    Albiero, D., Cajado, D., Fernandes, I., Monteiro, L. A. & Esmeraldo, G. Agroecological Technologies for the Semiarid Region. (UFC, Fortaleza, 2015)

  76. [76]

    New chainsaw drone technology deployed to fight Rapid ʻŌhiʻa Death | University of Hawaiʻi System News

    University of Hawai. New chainsaw drone technology deployed to fight Rapid ʻŌhiʻa Death | University of Hawaiʻi System News. https://www.hawaii.edu/news/2022/11/20/chainsaw - drone-fight-rapid-ohia-death/ (2022)

  77. [77]

    Charron, G. et al. The DeLeaves: a UAV device for efficient tree canopy sampling. J. Unmanned Veh. Syst. 8, 245–264 (2020)

  78. [78]

    https://newsroom.unl.edu/announce/cse/9069/52552

    New NIMBUS Lab drone parachutes, drills holes | Announce | University of Nebraska -Lincoln. https://newsroom.unl.edu/announce/cse/9069/52552

  79. [79]

    https://ag.dji.com/pt-br/t70p

    DJI AGRAS T70P - Eficiência e resultado no campo - DJI. https://ag.dji.com/pt-br/t70p

  80. [80]

    Steffen, A. D. These Deforestation -Fighting Drones Plant Thousands of Seeds Daily. AirSeed Technologies https://www.intelligentliving.co/deforestation-fighting-drones-plant-thousands- seeds-daily/ (2022)

Showing first 80 references.