Bridging the gap between the public’s knowledge and detection of marine non-indigenous species through developing automated image classification applications for marine species

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Bibliographische Detailangaben
Veröffentlicht in:	Frontiers in Marine Science (Jan 31, 2025)
1. Verfasser:	Zhou, Peng
Weitere Verfasser:	He, Xue-Qing, Tu, Zhi-Yi, Sun, Dong, Wang, Chun-Sheng, Shen, Hong-Bin, Pan, Xiaoyong
Veröffentlicht:	Frontiers Research Foundation
Schlagworte:	Mollusks Fish Shellfish Datasets Marine fish Indigenous species Aquatic crustaceans Food safety Socioeconomic aspects Introduced species Fouling Biological invasions Biodiversity Marine ecosystems Training Image processing Taxonomy Oceans Mangroves Books Algae Biofouling Marine invertebrates Seafood Animal learning Seafoods Accuracy Atlases Sea grasses Classification Fraud Marine organisms Artificial intelligence Algorithms Aquariums Worms Public access Biological surveys Invertebrates Conservation Crustaceans Invasive species Corals Deep learning Aquarium fishes Biogeography Automation Native organisms Marine conservation Public participation Surveys Seagrasses New records Aquaria Marine biology Computer vision Carcinus maenas Bivalvia Environmental
Online-Zugang:	Citation/Abstract Full Text + Graphics Full Text - PDF
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