Application of Regression Analysis to Achieve a Smart Monitoring System for Aquaculture

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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

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