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CamAgent: An LLM-Agent Framework for Multi-Species Camera-Trap Workflows — arXiv:2609.39112

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.39112
License (as archived): CC0-1.0
Archived: 2026-10-07T14:45:48.705Z
SHA-256 of the archived text: abd8fabd2fd216a21b7760a1f93b5bfe1fc0c9ffead97f14a1915e86a095010d
Stable URL of this page: https://metraipolis.com/documento/dc_f2d11edded95

How to cite

CamAgent: An LLM-Agent Framework for Multi-Species Camera-Trap Workflows — arXiv:2609.39112 — arXiv (en), https://arxiv.org/abs/2609.39112 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_f2d11edded95 (Metraipolis archive dc_f2d11edded95, sha256 abd8fabd2fd216a21b7760a1f93b5bfe1fc0c9ffead97f14a1915e86a095010d)

BibTeX

@misc{dcf2d11edded95,
  title = {CamAgent: An LLM-Agent Framework for Multi-Species Camera-Trap Workflows — arXiv:2609.39112},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.39112},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_f2d11edded95; sha256 abd8fabd2fd216a21b7760a1f93b5bfe1fc0c9ffead97f14a1915e86a095010d},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.39112. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Camera traps accumulated vast, multidimensional data for wildlife monitoring, yet translating raw media archives into meaningful ecological insights remains highly fragmented. Current research workflows require laboriously stitching together disparate analysis tools and scripts, creating steep programming hurdles and complicating end-to-end spatiotemporal analyses. To overcome this fragmentation, we present CamAgent, an autonomous Large Language Model (LLM) agent framework that integrates camera-trap analytical workflows into a unified intelligent ecosystem. CamAgent interprets natural-language ecological intent, schedules computational routing, and executes specialized tools spanning computer-vision perception (e.g., SpeciesNet), CamtrapDP-compatible data management, detection-corrected occupancy modeling, temporal activity analysis, and species co-occurrence networks. The framework automates multi-stage analytical pipelines while maintaining essential data-quality controls and analytical conventions. Consequently, CamAgent significantly reduces manual programming overhead for conservationists, establishing a transparent, scalable, and fully integrated paradigm for camera-trap ecology. Our project is available at this https URL .

Tema degli esploratori: statistica e scienza dei dati (retro-catalogo arXiv: annunci del 2026-10-01 in cs.CV).
Categorie arXiv: Computer Vision and Pattern Recognition (cs.CV).
Pagina del lavoro: https://arxiv.org/abs/2609.39112 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-07T14:19:00.669Z dalla pagina https://arxiv.org/catchup/cs.CV/2026-10-01?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).