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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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Marine Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2025.1508851/full |
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| author | Peng Zhou Peng Zhou Xue-Qing He Zhi-Yi Tu Dong Sun Chun-Sheng Wang Hong-Bin Shen Xiaoyong Pan |
| author_facet | Peng Zhou Peng Zhou Xue-Qing He Zhi-Yi Tu Dong Sun Chun-Sheng Wang Hong-Bin Shen Xiaoyong Pan |
| author_sort | Peng Zhou |
| collection | DOAJ |
| format | Article |
| id | doaj-art-bb1635404d9b42f2abdd02fb6275578e |
| institution | Kabale University |
| issn | 2296-7745 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Marine Science |
| spelling | doaj-art-bb1635404d9b42f2abdd02fb6275578e2025-01-31T05:10:18ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452025-01-011210.3389/fmars.2025.15088511508851Bridging the gap between the public’s knowledge and detection of marine non-indigenous species through developing automated image classification applications for marine speciesPeng Zhou0Peng Zhou1Xue-Qing He2Zhi-Yi Tu3Dong Sun4Chun-Sheng Wang5Hong-Bin Shen6Xiaoyong Pan7Key Laboratory of Marine Ecosystem Dynamics, Ministry of Natural Resources and Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, ChinaKey Laboratory of System Control and Information Processing, Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Ministry of Education of China, Shanghai, ChinaKey Laboratory of Marine Ecosystem Dynamics, Ministry of Natural Resources and Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, ChinaKey Laboratory of System Control and Information Processing, Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Ministry of Education of China, Shanghai, ChinaKey Laboratory of Marine Ecosystem Dynamics, Ministry of Natural Resources and Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, ChinaKey Laboratory of Marine Ecosystem Dynamics, Ministry of Natural Resources and Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, ChinaKey Laboratory of System Control and Information Processing, Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Ministry of Education of China, Shanghai, ChinaKey Laboratory of System Control and Information Processing, Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Ministry of Education of China, Shanghai, Chinahttps://www.frontiersin.org/articles/10.3389/fmars.2025.1508851/fullnon-indigenous speciesbiological invasionsbiodiversitypublic supportartificial intelligenceautomated image classification |
| spellingShingle | Peng Zhou Peng Zhou Xue-Qing He Zhi-Yi Tu Dong Sun Chun-Sheng Wang Hong-Bin Shen Xiaoyong Pan Bridging the gap between the public’s knowledge and detection of marine non-indigenous species through developing automated image classification applications for marine species Frontiers in Marine Science non-indigenous species biological invasions biodiversity public support artificial intelligence automated image classification |
| title | Bridging the gap between the public’s knowledge and detection of marine non-indigenous species through developing automated image classification applications for marine species |
| title_full | Bridging the gap between the public’s knowledge and detection of marine non-indigenous species through developing automated image classification applications for marine species |
| title_fullStr | Bridging the gap between the public’s knowledge and detection of marine non-indigenous species through developing automated image classification applications for marine species |
| title_full_unstemmed | Bridging the gap between the public’s knowledge and detection of marine non-indigenous species through developing automated image classification applications for marine species |
| title_short | Bridging the gap between the public’s knowledge and detection of marine non-indigenous species through developing automated image classification applications for marine species |
| title_sort | bridging the gap between the public s knowledge and detection of marine non indigenous species through developing automated image classification applications for marine species |
| topic | non-indigenous species biological invasions biodiversity public support artificial intelligence automated image classification |
| url | https://www.frontiersin.org/articles/10.3389/fmars.2025.1508851/full |
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