• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

农业灌溉智能水务管理框架。

Smart water management framework for irrigation in agriculture.

机构信息

School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India.

Department of Information Technology, College of Computer and Information Sciences, Majmaah University, Majmaah, Saudi Arabia.

出版信息

Environ Technol. 2024 May;45(12):2320-2334. doi: 10.1080/09593330.2022.2039783. Epub 2022 Feb 19.

DOI:10.1080/09593330.2022.2039783
PMID:35129073
Abstract

Global demand and pressure on natural resources is increasing, which is greater on the availability of pure and safe drinking water. The use of new-age technologies including Smart sensors, embedded devices, and Cloud computing can help deliver efficient and safe management for provisioning drinking water for consumers and irrigation for agriculture. The management actions combined with real-time data gathering, monitoring, and alerting with proactive actions, prevent issues from occurring. This research presents a secure and smart research framework to enhance the existing irrigation system. This involves a low-budget irrigation model that can provide automated control and requirements as per the season, climate by using smart device sensors and Cloud communications. The authors presented four unique algorithms and water management processing rules. This also includes alerting scenarios for device and component failures and water leakage by automatically switching to alternative mode and sending alert messages about the faults to resolve the operational failures.The objective of this research is to identify new-age technologies for providing efficient and effective farming methods and investigate Smart IoT-based water management. The highlights of this research are to investigate IoT water management systems using algorithms for irrigation farming, for which this research presents a secure and smart research framework. This involves a low-budget irrigation model that provides automated control and requirements as per the season, climate by using smart device sensors and Cloud communications. Alerts for device and component failures and water leakage are also in-built for switching to alternative mode to resolve the operational failures.

摘要

全球对自然资源的需求和压力不断增加,尤其是对纯净、安全饮用水的需求。包括智能传感器、嵌入式设备和云计算在内的新技术的使用,可以帮助为消费者提供饮用水和农业灌溉提供高效、安全的管理。管理行动结合实时数据收集、监测和预警以及主动行动,可以防止问题的发生。本研究提出了一个安全、智能的研究框架,以增强现有的灌溉系统。这涉及到一个低预算的灌溉模型,它可以根据季节、气候使用智能设备传感器和云通信来提供自动化控制和需求。作者提出了四种独特的算法和水管理处理规则。这还包括设备和组件故障以及水泄漏的警报场景,通过自动切换到备用模式并发送有关故障的警报消息来解决操作故障。本研究的目的是确定提供高效、有效的农业方法的新技术,并调查基于智能物联网的水管理。本研究的重点是使用灌溉农业的算法研究物联网水管理系统,为此,本研究提出了一个安全、智能的研究框架。这涉及到一个低预算的灌溉模型,它可以根据季节、气候使用智能设备传感器和云通信来提供自动化控制和需求。还内置了设备和组件故障以及水泄漏的警报,以便切换到备用模式以解决操作故障。

相似文献

1
Smart water management framework for irrigation in agriculture.农业灌溉智能水务管理框架。
Environ Technol. 2024 May;45(12):2320-2334. doi: 10.1080/09593330.2022.2039783. Epub 2022 Feb 19.
2
A Secure IoT-Based Irrigation System for Precision Agriculture Using the Expeditious Cipher.基于快速密码的物联网安全灌溉系统在精准农业中的应用。
Sensors (Basel). 2023 Feb 13;23(4):2091. doi: 10.3390/s23042091.
3
IRRISENS: An IoT Platform Based on Microservices Applied in Commercial-Scale Crops Working in a Multi-Cloud Environment.IRRISENS:一个基于微服务的物联网平台,应用于多云计算环境中的商业规模作物。
Sensors (Basel). 2020 Dec 14;20(24):7163. doi: 10.3390/s20247163.
4
AgriTrust-A Trust Management Approach for Smart Agriculture in Cloud-based Internet of Agriculture Things.基于云的农业物联网中的智能农业信任管理方法——AgriTrust-A 信任管理方法
Sensors (Basel). 2020 Oct 29;20(21):6174. doi: 10.3390/s20216174.
5
Efficient IoT-Based Control for a Smart Subsurface Irrigation System to Enhance Irrigation Management of Date Palm.基于物联网的智能地下灌溉系统高效控制,提高了椰枣树的灌溉管理水平。
Sensors (Basel). 2021 Jun 8;21(12):3942. doi: 10.3390/s21123942.
6
An Experimental Comparison of IoT-Based and Traditional Irrigation Scheduling on a Flood-Irrigated Subtropical Lemon Farm.基于物联网和传统灌溉调度在漫灌亚热带柠檬农场的实验比较。
Sensors (Basel). 2021 Jun 17;21(12):4175. doi: 10.3390/s21124175.
7
Smart Water Management Platform: IoT-Based Precision Irrigation for Agriculture.智能水务管理平台:基于物联网的农业精准灌溉。
Sensors (Basel). 2019 Jan 11;19(2):276. doi: 10.3390/s19020276.
8
Agricultural Irrigation Recommendation and Alert (AIRA) system using optimization and machine learning in Hadoop for sustainable agriculture.农业灌溉推荐和警报(AIRA)系统,使用 Hadoop 中的优化和机器学习实现可持续农业。
Environ Sci Pollut Res Int. 2022 Mar;29(14):19955-19974. doi: 10.1007/s11356-021-13248-3. Epub 2021 Mar 31.
9
Cloud and IoT based smart architecture for desalination water treatment.基于云与物联网的海水淡化处理智能体系结构。
Environ Res. 2021 Apr;195:110812. doi: 10.1016/j.envres.2021.110812. Epub 2021 Feb 2.
10
Irrigation intelligence-enabling a cloud-based Internet of Things approach for enhanced water management in agriculture.灌溉智能化——基于云的物联网技术在农业中增强水资源管理
Environ Monit Assess. 2024 Apr 9;196(5):438. doi: 10.1007/s10661-024-12606-1.

引用本文的文献

1
Study on the influence mechanism of adoption of smart agriculture technology behavior.采用智能农业技术行为的影响机制研究。
Sci Rep. 2023 May 26;13(1):8554. doi: 10.1038/s41598-023-35091-x.