{
  "id": 3646,
  "url": "https://arxiv.org/abs/2605.28883v1",
  "title": "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",
  "summary": "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 appro",
  "authors": "Daniel Albiero, Gelton Fernando de Morais, Daniela Han, Flávio Roberto de Freitas Gonçalves, Artur Vitório Andrade Santos, Wesllen Lins de Araújo et al.",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-26T20:30:42.000Z",
  "fetched_at": "2026-07-14T16:30:23.248Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3646",
  "original_url": "https://arxiv.org/abs/2605.28883v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}