Automatic counting methods in aquaculture: A review
Abstract Object counting in aquaculture is an important task, and has been widely applied in fish population estimation, estimation of lobster abundance and scallop stocks, and so forth. However, underwater object counting is challenging for biologists and marine scientists because of the diversity...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-04-01
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| Series: | Journal of the World Aquaculture Society |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/jwas.12745 |
| _version_ | 1797803713171030016 |
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| author | Daoliang Li Zheng Miao Fang Peng Liang Wang Yinfeng Hao Zhenhu Wang Tao Chen Hui Li Yingying Zheng |
| author_facet | Daoliang Li Zheng Miao Fang Peng Liang Wang Yinfeng Hao Zhenhu Wang Tao Chen Hui Li Yingying Zheng |
| author_sort | Daoliang Li |
| collection | DOAJ |
| description | Abstract Object counting in aquaculture is an important task, and has been widely applied in fish population estimation, estimation of lobster abundance and scallop stocks, and so forth. However, underwater object counting is challenging for biologists and marine scientists because of the diversity of backgrounds of the lake or ocean, the uncertainty of the object motion, and the occlusion between objects. With the rapid development of sensor, computer vision, and acoustic technologies, advanced and efficient counting methods are available in aquaculture. We reviewed underwater object counting methods in aquaculture, provided a survey including more than 50 articles in the recent 10 years, and analyzed the pros and cons of the counting methods and the applicable scenarios of those methods. Finally, the major challenges and future trends of underwater object counting in aquaculture are discussed. |
| first_indexed | 2024-03-13T05:26:11Z |
| format | Article |
| id | doaj.art-2b5c7cc9d9c5419fbed899aa8da26feb |
| institution | Directory Open Access Journal |
| issn | 0893-8849 1749-7345 |
| language | English |
| last_indexed | 2024-03-13T05:26:11Z |
| publishDate | 2021-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of the World Aquaculture Society |
| spelling | doaj.art-2b5c7cc9d9c5419fbed899aa8da26feb2023-06-15T05:51:38ZengWileyJournal of the World Aquaculture Society0893-88491749-73452021-04-0152226928310.1111/jwas.12745Automatic counting methods in aquaculture: A reviewDaoliang Li0Zheng Miao1Fang Peng2Liang Wang3Yinfeng Hao4Zhenhu Wang5Tao Chen6Hui Li7Yingying Zheng8National Innovation Center for Digital Fishery China Agricultural University Beijing ChinaNational Innovation Center for Digital Fishery China Agricultural University Beijing ChinaNational Innovation Center for Digital Fishery China Agricultural University Beijing ChinaNational Innovation Center for Digital Fishery China Agricultural University Beijing ChinaNational Innovation Center for Digital Fishery China Agricultural University Beijing ChinaNational Innovation Center for Digital Fishery China Agricultural University Beijing ChinaDepartment of Chemical and Process Engineering University of Surrey Guildford UKDepartment of Chemical and Process Engineering University of Surrey Guildford UKDepartment of Electrical and Computer Engineering Utah State University Logan Utah USAAbstract Object counting in aquaculture is an important task, and has been widely applied in fish population estimation, estimation of lobster abundance and scallop stocks, and so forth. However, underwater object counting is challenging for biologists and marine scientists because of the diversity of backgrounds of the lake or ocean, the uncertainty of the object motion, and the occlusion between objects. With the rapid development of sensor, computer vision, and acoustic technologies, advanced and efficient counting methods are available in aquaculture. We reviewed underwater object counting methods in aquaculture, provided a survey including more than 50 articles in the recent 10 years, and analyzed the pros and cons of the counting methods and the applicable scenarios of those methods. Finally, the major challenges and future trends of underwater object counting in aquaculture are discussed.https://doi.org/10.1111/jwas.12745acoustic technologyaquaculturecomputer visionobject countingsensor |
| spellingShingle | Daoliang Li Zheng Miao Fang Peng Liang Wang Yinfeng Hao Zhenhu Wang Tao Chen Hui Li Yingying Zheng Automatic counting methods in aquaculture: A review Journal of the World Aquaculture Society acoustic technology aquaculture computer vision object counting sensor |
| title | Automatic counting methods in aquaculture: A review |
| title_full | Automatic counting methods in aquaculture: A review |
| title_fullStr | Automatic counting methods in aquaculture: A review |
| title_full_unstemmed | Automatic counting methods in aquaculture: A review |
| title_short | Automatic counting methods in aquaculture: A review |
| title_sort | automatic counting methods in aquaculture a review |
| topic | acoustic technology aquaculture computer vision object counting sensor |
| url | https://doi.org/10.1111/jwas.12745 |
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