Drone imagery and deep learning for mapping the density of wild Pacific oysters to manage their expansion into protected areas

Author:

Mata Aser,Moffat David,Almeida Sílvia,Radeta Marko,Jay William,Mortimer Nigel,Awty-Carroll Katie,Thomas Oliver R.,Brotas Vanda,Groom Steve

Publisher

Elsevier BV

Reference40 articles.

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2. Beached and floating litter surveys by unmanned aerial vehicles: operational analogies and differences;Andriolo;Remote Sens.,2022

3. Drones for litter monitoring on coasts and rivers: suitable flight altitude and image resolution;Andriolo;Mar. Pollut. Bull.,2023

4. Bivalvenet: a hybrid deep neural network for common cockle (cerastoderma edule) geographical traceability based on shell image analysis;Concepcion;Eco. Inform.,2023

5. High survival and growth rates of introduced Pacific oysters may cause restrictions on habitat use by native mussels in the Wadden Sea;Diederich;J. Exp. Mar. Biol. Ecol.,2006

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