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    Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/34078


    標題: Application of Regression Analysis to Achieve a Smart Monitoring System for Aquaculture
    作者: Hsu, Wei-Chih
    Chao, Pao-Yuan
    Wang, Chia-Sui
    Hsieh, Jen-Chieh
    Huang, Wesley
    貢獻者: Natl Kaohsiung Univ Sci & Technol, Dept Comp & Commun Engn
    Chia Nan Univ Pharm & Sci, Dept Informat Management
    關鍵字: dissolved oxygen
    regression analysis
    smart monitoring
    aquaculture
    日期: 2020
    上傳時間: 2022-11-18 11:23:02 (UTC+8)
    出版者: Mdpi
    摘要: The consumption awareness of people in recent years has increased, with food safety becoming more and more important. While non-toxic products can be achieved by avoiding using too much antibiotics to control growth factors in a water environment, the measurement tools for dissolved oxygen on the market are very expensive and a great economic burden to fishermen. Thus, the purpose of this study is to design more economical measurement modules and algorithms for monitoring ponds. The research collected pond data through Oxidation-Reduction Potential (ORP), pH and temperature sensors, used regression analysis to infer Dissolved Oxygen (DO) by ORP and pH, and employed a real-time pond monitoring data map to figure out pond conditions. Compared with traditional equipment, findings show our approach reduces costs by about 20%, and increases production capacity and output value.
    關聯: Information, v.11, n.8, pp.9
    Appears in Collections:[資訊管理系] 期刊論文

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