IoT-based Experimental Aquarium Environment for Observing Crabs

Sota Nakajima, Daiki Sumiya, M. Morii, Nobuaki Mizutani, Akitsugu Shimano, M. Niswar, Shigeru Kashihara
{"title":"IoT-based Experimental Aquarium Environment for Observing Crabs","authors":"Sota Nakajima, Daiki Sumiya, M. Morii, Nobuaki Mizutani, Akitsugu Shimano, M. Niswar, Shigeru Kashihara","doi":"10.1109/IoTaIS56727.2022.9975886","DOIUrl":null,"url":null,"abstract":"There is a need to promote smart aquaculture using information science technologies such as ICT, IoT, and AI. Currently, smart aquaculture has been started in many species, such as oysters, mackerels, and shrimps. It is trying to improve work efficiency and secure appropriate production volume by converting what has been done by experienced and intuition into data. The paper focuses on crabs, especially Scylla Serrata, known as mud crab. Note that they have not yet been fully cultivated. To contribute to achieving the intelligent cultivation of these species, we first constructed an IoT-based experimental aquarium environment that can observe the ecology of these species on a laboratory scale. The sensing data and moving images acquired in the environment are displayed on the Web and can be easily checked remotely. The paper also introduces valuable examples through the operation and summarizes the future issues.","PeriodicalId":138894,"journal":{"name":"2022 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IoTaIS56727.2022.9975886","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

There is a need to promote smart aquaculture using information science technologies such as ICT, IoT, and AI. Currently, smart aquaculture has been started in many species, such as oysters, mackerels, and shrimps. It is trying to improve work efficiency and secure appropriate production volume by converting what has been done by experienced and intuition into data. The paper focuses on crabs, especially Scylla Serrata, known as mud crab. Note that they have not yet been fully cultivated. To contribute to achieving the intelligent cultivation of these species, we first constructed an IoT-based experimental aquarium environment that can observe the ecology of these species on a laboratory scale. The sensing data and moving images acquired in the environment are displayed on the Web and can be easily checked remotely. The paper also introduces valuable examples through the operation and summarizes the future issues.
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
基于物联网的实验水族螃蟹观察环境
有必要利用信息通信技术、物联网和人工智能等信息科学技术促进智能水产养殖。目前,智能水产养殖已经开始在许多物种,如牡蛎,鲭鱼和虾。它试图通过将经验和直觉所做的事情转化为数据来提高工作效率并确保适当的产量。本文的重点是螃蟹,特别是Scylla Serrata,被称为泥蟹。请注意,它们还没有完全培育出来。为了实现这些物种的智能养殖,我们首先构建了一个基于物联网的实验水族环境,可以在实验室规模上观察这些物种的生态。在环境中获取的传感数据和运动图像显示在Web上,可以方便地远程查看。通过实际操作,介绍了有价值的实例,并对今后需要解决的问题进行了总结。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Selecting Resource-Efficient ML Models for Transport Mode Detection on Mobile Devices A Two-Step Machine Learning Model for Stage-Specific Disease Survivability Prediction Comparing Analog and Digital Processing for Ultra Low-Power Embedded Artificial Intelligence Channel Estimation in Cellular Massive MIMO: A Data-Driven Approach A proposal on the control mechanism among distributed MQTT brokers over wide area networks
×
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