Internet of Things based Control and Monitoring System for Koi Fish Cultivation

CESS Journal of Computer Engineering System and Science Pub Date : 2023-01-31 DOI:10.24114/cess.v8i1.40886

Kevin William, Ikhwan Ruslianto, Irma Nirmala

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引用次数: 0

Abstract

Water quality is an important factor for fish koi cultivation. Poor water quality such as inappropriate temperature, pH, and turbidity can disrupt metabolic processes, inhibit growth and cause death in koi fish. Apart from that, feeding and checking water quality are still done manually. Because of this, we need a system that can monitor and control the feeding, temperature, and water quality according to the living environment of koi fish. In this study the system was built on an Android-based mobile application using the flutter framework. In addition, the system has a notification to provide information on changes in sensor readings in real time to users. The notifications are changes in temperature, pH, turbidity, water level, feed level and changes in control device modes. Testing the water temperature readings obtained a relative error value of 0,66%, water turbidity readings obtained an error value of 8,79%, water pH readings obtained a relative error value of 2,45%, water level readings obtained an error relative value of 1,57% and feed availability readings obtained an error value of 3,1%.

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基于物联网的锦鲤养殖控制与监测系统

水质是养殖锦鱼的重要因素。水质差，如温度、pH值和浊度不合适，会破坏锦鱼的代谢过程，抑制生长并导致死亡。除此之外，喂食和检查水质仍然是手动完成的。正因为如此，我们需要一个能够根据锦鱼的生活环境来监测和控制喂食、温度和水质的系统。在本研究中，该系统是在基于安卓系统的移动应用程序上使用flutter框架构建的。此外，该系统具有通知，以向用户实时提供传感器读数变化的信息。通知包括温度、pH、浊度、水位、进料液位的变化以及控制设备模式的变化。测试水温读数获得的相对误差值为0.66%，水浊度读数获得的误差值为8,79%，水pH读数获得的相关误差值为2,45%，水位读数获得的错误相关值为1,57%，给水可用性读数获得的偏差值为3,1%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

CESS Journal of Computer Engineering System and Science

自引率

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审稿时长

4 weeks