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

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Title:	Application of Regression Analysis to Achieve a Smart Monitoring System for Aquaculture
Authors:	Hsu, Wei-Chih Chao, Pao-Yuan Wang, Chia-Sui Hsieh, Jen-Chieh Huang, Wesley
Contributors:	Natl Kaohsiung Univ Sci & Technol, Dept Comp & Commun Engn Chia Nan Univ Pharm & Sci, Dept Informat Management
Keywords:	dissolved oxygen regression analysis smart monitoring aquaculture
Date:	2020
Issue Date:	2022-11-18 11:23:02 (UTC+8)
Publisher:	Mdpi
Abstract:	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.
Relation:	Information, v.11, n.8, pp.9
Appears in Collections:	[Dept. of Information Management] Periodical Articles

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