Chia Nan University of Pharmacy & Science Institutional Repository:Item 310902800/34078
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 18074/20272 (89%)
造访人次 : 4072601      在线人数 : 831
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: 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
    显示于类别:[資訊管理系] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML506检视/开启
    information-11-00387.pdf4813KbAdobe PDF145检视/开启


    在CNU IR中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈