边缘耕作:架构目标

A. Carvalho, Niall O' Mahony, L. Krpalkova, S. Campbell, Joseph Walsh, P. Doody
{"title":"边缘耕作:架构目标","authors":"A. Carvalho, Niall O' Mahony, L. Krpalkova, S. Campbell, Joseph Walsh, P. Doody","doi":"10.1109/Agro-Geoinformatics.2019.8820424","DOIUrl":null,"url":null,"abstract":"This research investigates how advances in Internet of Things (IoT) and availability of internet connection would enable Edge Solutions to promote smart utilization of existing machines at the edge. The presented results are based on experiments performed in real scenarios using the proposed solution. Whereas scenarios were cloned from real environments it is important to have in mind that experiments were performed with low load in terms of data and small number of devices in terms of distribution. As result of extensive architecture investigation for an optimal edge solution and its possible correlation to industrial applications, this paper will provide evidences supporting the use of edge solutions in challenging conditions which arise at the edge, including smart factories and smart agriculture. The present work assumes that the reader has some exposition to Edge computing, Cloud computing and software development. The paper will present some important findings on this area, compare main architectural aspects and will provide a broad view of how edge solutions might be built for this particular scenario. Having discussed how the ideal architecture works and having provided an overview about how it may be applied to industrial plants, the final section of this paper addresses how artificial intelligence will fit into edge solutions, forming a new source of “smart capabilities” to existing environments.","PeriodicalId":143731,"journal":{"name":"2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Farming on the edge: Architectural Goals\",\"authors\":\"A. Carvalho, Niall O' Mahony, L. Krpalkova, S. Campbell, Joseph Walsh, P. Doody\",\"doi\":\"10.1109/Agro-Geoinformatics.2019.8820424\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research investigates how advances in Internet of Things (IoT) and availability of internet connection would enable Edge Solutions to promote smart utilization of existing machines at the edge. The presented results are based on experiments performed in real scenarios using the proposed solution. Whereas scenarios were cloned from real environments it is important to have in mind that experiments were performed with low load in terms of data and small number of devices in terms of distribution. As result of extensive architecture investigation for an optimal edge solution and its possible correlation to industrial applications, this paper will provide evidences supporting the use of edge solutions in challenging conditions which arise at the edge, including smart factories and smart agriculture. The present work assumes that the reader has some exposition to Edge computing, Cloud computing and software development. The paper will present some important findings on this area, compare main architectural aspects and will provide a broad view of how edge solutions might be built for this particular scenario. Having discussed how the ideal architecture works and having provided an overview about how it may be applied to industrial plants, the final section of this paper addresses how artificial intelligence will fit into edge solutions, forming a new source of “smart capabilities” to existing environments.\",\"PeriodicalId\":143731,\"journal\":{\"name\":\"2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/Agro-Geoinformatics.2019.8820424\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Agro-Geoinformatics.2019.8820424","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

本研究探讨了物联网(IoT)的进步和互联网连接的可用性如何使边缘解决方案能够促进边缘现有机器的智能利用。所提出的结果是基于在实际场景中使用所提出的解决方案进行的实验。虽然场景是从真实环境克隆出来的,但重要的是要记住,就数据而言,实验是在低负载下进行的,就分布而言,实验是在少量设备下进行的。由于对最佳边缘解决方案及其与工业应用的可能相关性进行了广泛的架构调查,本文将提供证据,支持在边缘出现的具有挑战性的条件下使用边缘解决方案,包括智能工厂和智能农业。本文假设读者对边缘计算、云计算和软件开发有一定的了解。本文将介绍这一领域的一些重要发现,比较主要的架构方面,并将提供一个关于如何为这种特定场景构建边缘解决方案的广泛视角。在讨论了理想架构如何工作并概述了如何将其应用于工业工厂之后,本文的最后一部分讨论了人工智能将如何适应边缘解决方案,形成现有环境的新“智能功能”来源。
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
Farming on the edge: Architectural Goals
This research investigates how advances in Internet of Things (IoT) and availability of internet connection would enable Edge Solutions to promote smart utilization of existing machines at the edge. The presented results are based on experiments performed in real scenarios using the proposed solution. Whereas scenarios were cloned from real environments it is important to have in mind that experiments were performed with low load in terms of data and small number of devices in terms of distribution. As result of extensive architecture investigation for an optimal edge solution and its possible correlation to industrial applications, this paper will provide evidences supporting the use of edge solutions in challenging conditions which arise at the edge, including smart factories and smart agriculture. The present work assumes that the reader has some exposition to Edge computing, Cloud computing and software development. The paper will present some important findings on this area, compare main architectural aspects and will provide a broad view of how edge solutions might be built for this particular scenario. Having discussed how the ideal architecture works and having provided an overview about how it may be applied to industrial plants, the final section of this paper addresses how artificial intelligence will fit into edge solutions, forming a new source of “smart capabilities” to existing environments.
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
0
期刊最新文献
Archiving System of Rural Land Contractual Management Right Data using Multithreading and Distributed Storage Technology Winter Wheat Drought Monitoring with Multi-temporal MODIS data and AquaCrop Model—A Case Study in Henan Province Rice yield estimation at pixel scale using relative vegetation indices from unmanned aerial systems Research on Cotton Information Extraction Based on Sentinel-2 Time Series Analysis Impacts of El Nino Southern Oscillation (ENSO) and North Atlantic Oscillation (NAO) on the Olive Yield in the Mediterranean Region, Turkey
×
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