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Automated object detection based on YOLOv11 for monitoring benthic population dynamics: A new approach combining photogrammetry and open‐source GIS tools applied to sea cucumbers
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| Published in: | Remote Sensing in Ecology and Conservation |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| _version_ | 1868847730624823296 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Remote Sensing in Ecology and Conservation |
| description | |
| discipline_display | Zoology |
| discipline_facet | Zoology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:94891 |
| institution | FRELIP |
| journal_source_facet | Remote Sensing in Ecology and Conservation |
| last_indexed | 2026-06-24T03:34:41.860Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Automated object detection based on YOLOv11 for monitoring benthic population dynamics: A new approach combining photogrammetry and open‐source GIS tools applied to sea cucumbers Zoology General Zoology |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Zoology General Zoology |
| subject_facet | Zoology General Zoology |
| title | Automated object detection based on YOLOv11 for monitoring benthic population dynamics: A new approach combining photogrammetry and open‐source GIS tools applied to sea cucumbers |
| title_alt | Detección automatizada de objetos basada en YOLOv11 para monitorear la dinámica de poblaciones bentónicas: un nuevo enfoque que combina fotogrametría y herramientas SIG de código abierto aplicado a pepinos de mar Détection automatisée d'objets basée sur YOLOv11 pour le suivi de la dynamique des populations benthiques : une nouvelle approche combinant photogrammétrie et outils SIG open source appliquée aux concombres de mer Detecção automatizada de objetos baseada em YOLOv11 para monitoramento da dinâmica populacional bentônica: uma nova abordagem combinando fotogrametria e ferramentas GIS de código aberto aplicada a pepinos-do-mar |
| title_auth | Automated object detection based on YOLOv11 for monitoring benthic population dynamics: A new approach combining photogrammetry and open‐source GIS tools applied to sea cucumbers |
| title_es_txt | Detección automatizada de objetos basada en YOLOv11 para monitorear la dinámica de poblaciones bentónicas: un nuevo enfoque que combina fotogrametría y herramientas SIG de código abierto aplicado a pepinos de mar |
| title_fr_txt | Détection automatisée d'objets basée sur YOLOv11 pour le suivi de la dynamique des populations benthiques : une nouvelle approche combinant photogrammétrie et outils SIG open source appliquée aux concombres de mer |
| title_full | Automated object detection based on YOLOv11 for monitoring benthic population dynamics: A new approach combining photogrammetry and open‐source GIS tools applied to sea cucumbers |
| title_fullStr | Automated object detection based on YOLOv11 for monitoring benthic population dynamics: A new approach combining photogrammetry and open‐source GIS tools applied to sea cucumbers |
| title_full_unstemmed | Automated object detection based on YOLOv11 for monitoring benthic population dynamics: A new approach combining photogrammetry and open‐source GIS tools applied to sea cucumbers |
| title_pt_txt | Detecção automatizada de objetos baseada em YOLOv11 para monitoramento da dinâmica populacional bentônica: uma nova abordagem combinando fotogrametria e ferramentas GIS de código aberto aplicada a pepinos-do-mar |
| title_short | Automated object detection based on YOLOv11 for monitoring benthic population dynamics: A new approach combining photogrammetry and open‐source GIS tools applied to sea cucumbers |
| title_sort | automated object detection based on yolov11 for monitoring benthic population dynamics: a new approach combining photogrammetry and open‐source gis tools applied to sea cucumbers |
| topic | Zoology General Zoology |
| url | https://zslpublications.onlinelibrary.wiley.com/doi/10.1002/rse2.70051?af=R |