Using unmanned aerial vehicles and machine learning to improve sea cucumber density estimation in shallow habitats | Zendy

James P. Kilfoil | Zendy; Ivan I. Rodriguez-Pinto | Zendy; Jérémy J. Kiszka | Zendy; Michael R. Heithaus | Zendy; Yuying Zhang | Zendy; Camilo Roa | Zendy; Lisa Ailloud | Zendy; Matthew D. Campbell | Zendy; Aaron J. Wirsing | Zendy

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Using unmanned aerial vehicles and machine learning to improve sea cucumber density estimation in shallow habitats

Author(s) -

James P. Kilfoil,

Ivan I. Rodriguez-Pinto,

Jérémy J. Kiszka,

Michael R. Heithaus,

Yuying Zhang,

Camilo Roa,

Lisa Ailloud,

Matthew D. Campbell,

Aaron J. Wirsing

Publication year - 2020

Publication title -

ices journal of marine science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.348

H-Index - 117

eISSN - 1095-9289

pISSN - 1054-3139

DOI - 10.1093/icesjms/fsaa161

Subject(s) - transect , overexploitation , habitat , environmental science , belt transect , occupancy , aerial survey , sea cucumber , fishery , computer science , ecology , geography , cartography , biology

James P. Kilfoil *, Ivan Rodriguez-Pinto, Jeremy J. Kiszka, Michael R. Heithaus, Yuying Zhang, Camilo C. Roa, Lisa E. Ailloud, Matthew D. Campbell, and Aaron J. Wirsing Department of Biological Sciences, Institute of the Environment, Florida International University, 3000 NE 151st Street, North Miami, FL 33181, USA International Commission for the Conservation of Atlantic Tunas, AOTTP, Corazon de Maria, 8, Madrid 28014, Spain National Marine Fisheries Service, Southeast Fisheries Science Center, Mississippi Laboratories, Pascagoula, MS 39567, USA School of Environmental and Forest Sciences, University of Washington, 3715 West Stevens Way NE, Seattle, WA 98195, USA

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