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TitleA predictive method for site selection in aquaculture with a robotic platform
Author (Name in English or Pinyin)
Tong Shen1; Tianqi Zhang1; Kai Yuan1; 薛凯文1,2; 钱辉环1,2
Date Issued2022-12-05
Conference NameIEEE International Conference on Robotics and Biomimetics
Source PublicationIEEE International Conference on Robotics and Biomimetics
Pages1011-1016
Conference DateDecember 5, 2022 - December 9, 2022
Conference PlaceXishuangbanna, China
PublisherInstitute of Electrical and Electronics Engineers Inc.
AbstractThe aquaculture industry significantly impacts human life and social development since it provides excellent resources and continues to grow for our needs. To improve production efficiency and minimize risk, suitable site selection in aquaculture tends to be more desirable. This paper proposes a predictive method based on the environmental sampling information to justify the site condition for aquaculture. A robotic platform is designed to automatically patrol the water body with sensors sampling the environment information to achieve the above-mentioned accomplishment. Based on the obtained data, a machine learning model is trained and further used to assess the probability. Finally, potential sites could be selected for the future aquaculture industry. Both the predictive method and the robotic platform have been tested in an outdoor lake, and the results verified their feasibility. Both the platform and the prediction method could be applied to increase the site selection efficiency, thus promoting the aquaculture industry's development. © 2022 IEEE.
KeywordProduction efficiency Robotics Sampling Site selection Aquaculture industry Environmental sampling Human lives Predictive methods Production efficiency Robotic platforms Sampling information Site conditions Social development Waterbodies
DOI10.1109/ROBIO55434.2022.10011913
Indexed ByEI
language英语
EI Accession Number20230613554748
EI Classification Number731.5 Robotics - 821.3 Agricultural Methods - 913 Production Planning and Control ; Manufacturing - 913.4 Manufacturing
Original Document TypeConference article (CA)
Firstlevel Discipline计算机科学技术
Education discipline科技类
Published range国外学术期刊
References
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[15] Usanapong, R., & Boonnam, N. (2022, May). Data Standardization Analysis for Water Quality Parameters of Nursery Aquaculture. In 2022 19th International Conference on Electrical Engineering/ Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) (pp. 1-4). IEEE.
Data SourceEI
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
Identifierhttps://irepository.cuhk.edu.cn/handle/3EPUXD0A/4520
CollectionSchool of Science and Engineering
Shenzhen Institute of Artificial Intelligence and Robotics for Society
Co-First AuthorTianqi Zhang; Kai Yuan
Corresponding Author钱辉环
Affiliation
1.理工学院
2.深圳市人工智能与机器人研究院
First Author AffilicationSchool of Science and Engineering
Corresponding Author AffilicationSchool of Science and Engineering;  Shenzhen Institute of Artificial Intelligence and Robotics for Society
Recommended Citation
GB/T 7714
Tong Shen,Tianqi Zhang,Kai Yuanet al. A predictive method for site selection in aquaculture with a robotic platform[C]:Institute of Electrical and Electronics Engineers Inc.,2022:1011-1016.
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