基于物联网的锦鲤养殖控制与监测系统

Kevin William, Ikhwan Ruslianto, Irma Nirmala
{"title":"基于物联网的锦鲤养殖控制与监测系统","authors":"Kevin William, Ikhwan Ruslianto, Irma Nirmala","doi":"10.24114/cess.v8i1.40886","DOIUrl":null,"url":null,"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%.","PeriodicalId":53361,"journal":{"name":"CESS Journal of Computer Engineering System and Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Internet of Things based Control and Monitoring System for Koi Fish Cultivation\",\"authors\":\"Kevin William, Ikhwan Ruslianto, Irma Nirmala\",\"doi\":\"10.24114/cess.v8i1.40886\",\"DOIUrl\":null,\"url\":null,\"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%.\",\"PeriodicalId\":53361,\"journal\":{\"name\":\"CESS Journal of Computer Engineering System and Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CESS Journal of Computer Engineering System and Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24114/cess.v8i1.40886\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CESS Journal of Computer Engineering System and Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24114/cess.v8i1.40886","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Internet of Things based Control and Monitoring System for Koi Fish Cultivation
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%.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
40
审稿时长
4 weeks
期刊最新文献
Implementation of the Multimedia Development Life Cycle in Making Educational Games About Indonesia Data Mining Algorithm Decision Tree Itterative Dechotomiser 3 (ID3) for Classification of Stroke Implementation of Weight Aggregated Sum Product Assessment (WASPAS) on the Selection of Online English Course Platforms Usability of Brain Tumor Detection Using the DNN (Deep Neural Network) Method Based on Medical Image on DICOM Performance Comparison Analysis of Multi Prime RSA and Multi Power RSA
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1