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Drone imagery and deep learning for mapping the density of wild Pacific oysters to manage their expansion into protected areas
| Title: | Drone imagery and deep learning for mapping the density of wild Pacific oysters to manage their expansion into protected areas | Authors: | Mata, Aser; Moffat, David; Almeida, Silvia; Radeta, Marko; Jay, William; Mortimer, Nigel; Awty, Carroll Katie; Thomas, Oliver R; Brotas, Vanda; Groom, Steve | Issue Date: | 2024 | Publication: | ECOLOGICAL INFORMATICS | ISSN: | 1574-9541 Ecological Informatics Search Idenfier |
Type: | Article | Collation: | vol. 82 str. 102708-102708 | DOI: | 10.1016/j.ecoinf.2024.102708 | WoS-ID: | 001272011800001 | Scopus-ID: | 2-s2.0-85198538567 | URI: | https://enauka.gov.rs/handle/123456789/936958 | Project: | European Union [810139] FCT [UI/BD/151020/2021] FCT project INTERWHALE-Advancing Interactive Technology for Responsible Whale-Watching [PTDC/CCI-COM/0450/2020] Marine Research Plymouth South Devon AONB Estuaries Partnership |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 21a+M21a+ |
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