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題名 Applying artificial intelligence (AI) techniques to implement a practical smart cage aquaculture management system
作者 彭彥璁
Peng, Yan-Tsung
Chang, Chung-Cheng;Wang, Jung-Hua;Wu, Jenq-Lang;Hsieh, Yi-Zeng;Wu, Tzong-Dar;Cheng, Shyi-Chy;Chang, Chin-Chun;Juang, Jih-Gau;Liou, Chyng-Hwa;Hsu, Te-Hua;Huang, Yii-Shing;Huang, Cheng-Ting;Lin, Chen-Chou;Huang, Ren-Jie;Jhang, Jia-Yao;Liao, Yen-Hsiang;Lin, Chin-Yang
貢獻者 資科系
關鍵詞 Cageculture; Aquaculture; AI; IoT; Cloud system; ROV
日期 2021-09
上傳時間 6-Feb-2023 14:30:17 (UTC+8)
摘要 Purpose
This paper presents our team’s results to establish an AIoT smart cage culture management system.

Methods
According to the built system, the farmed field information is transmitted to the data platform of Ocean Cloud, and all collected data and analysis results can be applied to the cage culture field after the bigdata analysis.

Results
This management system successfully integrates AI and IoT technologies and is applied in cage culture. Using underwater biological analysis images and AI feeding as examples, this paper explains how the system integrates AI and IoT into a feasible framework that can constantly acquire information about the health status of fish, survival rate of fish, as well as the feed residuals.

Conclusion
The results of our research enable the aquaculture operators or owners to efficiently reduce the feed residual, monitor the growth of fish, and increase fish survival rate, thereby increasing the feed conversion rate.
關聯 Journal of Medical and Biological Engineering, pp.652–658
資料類型 article
DOI https://doi.org/10.1007/s40846-021-00621-3
dc.contributor 資科系
dc.creator (作者) 彭彥璁
dc.creator (作者) Peng, Yan-Tsung
dc.creator (作者) Chang, Chung-Cheng;Wang, Jung-Hua;Wu, Jenq-Lang;Hsieh, Yi-Zeng;Wu, Tzong-Dar;Cheng, Shyi-Chy;Chang, Chin-Chun;Juang, Jih-Gau;Liou, Chyng-Hwa;Hsu, Te-Hua;Huang, Yii-Shing;Huang, Cheng-Ting;Lin, Chen-Chou;Huang, Ren-Jie;Jhang, Jia-Yao;Liao, Yen-Hsiang;Lin, Chin-Yang
dc.date (日期) 2021-09
dc.date.accessioned 6-Feb-2023 14:30:17 (UTC+8)-
dc.date.available 6-Feb-2023 14:30:17 (UTC+8)-
dc.date.issued (上傳時間) 6-Feb-2023 14:30:17 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/143298-
dc.description.abstract (摘要) Purpose
This paper presents our team’s results to establish an AIoT smart cage culture management system.

Methods
According to the built system, the farmed field information is transmitted to the data platform of Ocean Cloud, and all collected data and analysis results can be applied to the cage culture field after the bigdata analysis.

Results
This management system successfully integrates AI and IoT technologies and is applied in cage culture. Using underwater biological analysis images and AI feeding as examples, this paper explains how the system integrates AI and IoT into a feasible framework that can constantly acquire information about the health status of fish, survival rate of fish, as well as the feed residuals.

Conclusion
The results of our research enable the aquaculture operators or owners to efficiently reduce the feed residual, monitor the growth of fish, and increase fish survival rate, thereby increasing the feed conversion rate.
dc.format.extent 106 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Journal of Medical and Biological Engineering, pp.652–658
dc.subject (關鍵詞) Cageculture; Aquaculture; AI; IoT; Cloud system; ROV
dc.title (題名) Applying artificial intelligence (AI) techniques to implement a practical smart cage aquaculture management system
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1007/s40846-021-00621-3
dc.doi.uri (DOI) https://doi.org/10.1007/s40846-021-00621-3