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    政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 >  Item 140.119/143298


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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: 2023-02-06 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 連結: https://doi.org/10.1007/s40846-021-00621-3
    DOI: 10.1007/s40846-021-00621-3
    顯示於類別:[資訊科學系] 期刊論文

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