CyberSEES: Type 1: Improving Crop Production Efficiency using Wireless Underground Sensor-Guided Irrigation Systems
CyberSEES:类型 1:使用无线地下传感器引导灌溉系统提高作物生产效率
基本信息
- 批准号:1331895
- 负责人:
- 金额:$ 30万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-09-01 至 2016-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project investigates the feasibility of wireless underground sensor networks (WUSNs) for soil parameter monitoring and devises next-generation autonomous irrigation management tools to improve crop production efficiency. Agriculture is the largest user of freshwater resources, accounting for about 70-80% of current withdrawals. With the increasing demands and the emerging scarcity in freshwater resources, increasing the crop yield is essential. The wirelessly connected, permanently installed underground sensor networks can feed real-time information from the soil to the irrigation management system, improving crop yields in a cost-effective manner. This project develops a proof-of-concept irrigation management testbed and associated agricultural practices and tools for autonomous control of a center pivot irrigation system. The developed tools are integrated into a heterogeneous architecture that consists of underground sensing components, relay nodes, a cloud-based management system and mobile components. These results of this project will make significant contributions to the implementation of the variable rate irrigation concept. Moreover, irrigation-scheduling protocols developed using the WUSN will account for different soil textural classifications. While transforming irrigation practices, the research also devises sustainable underground system solutions through development of unique antenna designs; transmit power control techniques, and vibration energy harvesting systems. The resulting prototype is the first sustainable wireless underground sensor system and enables investigation of the relationships between locally-sensed data and crop yields. Accordingly, the project develops on-line management tools that will enhance crop production efficiency in the long-term.Projections by the Food and Agriculture Organization of the United Nations indicate that the World population will reach over 9 billion by 2050. Ever-increasing limitations in freshwater resources coupled with population growth have increased the competition for water between various sectors and substantially increased the pressure on water users. To meet the food and fiber demand of rapidly growing World population, new technologies are required for production agriculture. This difficult and challenging task requires multidisciplinary efforts to couple various engineering and science disciplines. The developed innovative autonomous irrigation management paradigm in this project is a new generation concept that can achieve such broad impacts. The project supports graduate students from computer science and engineering and biological systems engineering to foster interdisciplinary research. The results and the insight from this project are disseminated to farmers and agriculture industry through University of Nebraska-Lincoln Extension programs and networks as well as high quality publications, local, regional, national and international conferences and journals.
该项目研究了无线地下传感器网络(WUSN)对土壤参数监测的可行性,并设计了下一代自动灌溉管理工具,以提高作物生产效率。农业是淡水资源的最大用户,约占当前提款的70-80%。随着需求的增加和淡水资源的新兴稀缺性,提高作物产量至关重要。无线连接的,永久安装的地下传感器网络可以将实时信息从土壤中馈送到灌溉管理系统,以具有成本效益的方式提高农作物的产量。该项目开发了概念验证灌溉管理测试床和相关的农业实践和工具,用于自主控制中心枢轴灌溉系统。开发的工具集成到一个异质体系结构中,该架构由地下传感组件,中继节点,基于云的管理系统和移动组件组成。该项目的这些结果将为可变费率灌溉概念的实施做出重大贡献。此外,使用WUSN制定的灌溉规定协议将解释不同的土壤质地分类。在改变灌溉实践的同时,该研究还通过开发独特的天线设计来设计可持续的地下系统解决方案。传输功率控制技术和振动能量收集系统。由此产生的原型是第一个可持续的无线地下传感器系统,可以研究本地敏感的数据和作物产量之间的关系。因此,该项目开发了在线管理工具,该工具将提高联合国粮食和农业组织的长期投影中的作物生产效率。到2050年,世界人口将达到90亿以上。淡水资源的不断增加的局限性与人口增长的局限性增加了各个行业之间的水位竞争,并增加了对水的压力,对水的压力增加了水的压力。为了满足迅速增长的世界人口的粮食和纤维需求,生产农业需要新技术。这项艰巨而充满挑战的任务需要多学科的努力来融入各种工程和科学学科。该项目中开发的创新灌溉管理范式是一个新一代概念,可以实现如此广泛的影响。该项目为计算机科学,工程和生物系统工程的研究生提供支持,以促进跨学科研究。该项目的结果和见解通过内布拉斯加州林肯大学的扩展计划和网络以及高质量出版物,地方,地区,国家,国家和国际会议和期刊传播给农民和农业行业。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Mehmet Vuran其他文献
Mehmet Vuran的其他文献
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{{ truncateString('Mehmet Vuran', 18)}}的其他基金
CNS Core: Medium: Field-Nets: Field-to-Edge Connectivity for Joint Communication and Sensing in Next-Generation Intelligent Agricultural Networks
CNS 核心:中:Field-Nets:下一代智能农业网络中联合通信和传感的田间到边缘连接
- 批准号:
2212050 - 财政年份:2022
- 资助金额:
$ 30万 - 项目类别:
Continuing Grant
Collaborative Research: SWIFT: LARGE: DYNAmmWIC: Dynamic mmWave Spectrum Sharing Techniques for Public Safety Communications
合作研究:SWIFT:大型:DYNAmmWIC:公共安全通信的动态毫米波频谱共享技术
- 批准号:
2030272 - 财政年份:2021
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Planning Grant: Engineering Research Center for Agricultural and Rural Connectivity (ARC)
规划资助:农业农村互联互通工程研究中心(ARC)
- 批准号:
2124376 - 财政年份:2021
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
NeTS: Small: Collaborative Research: Connected Barriers: Vehicle to Barrier Communication and Networking for Single-Vehicle Crash Safety
NeTS:小型:协作研究:互联障碍:用于单车碰撞安全的车辆到障碍通信和网络
- 批准号:
1816938 - 财政年份:2018
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
SpecEES: Collaborative Research: CoSeC-RAN: Cognitive Secure Cloud RAN for Efficient Spectrum Sharing
SpecEES:协作研究:CoSeC-RAN:用于高效频谱共享的认知安全云 RAN
- 批准号:
1731833 - 财政年份:2017
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
NeTS: Small: 2G for UG: High Data-rate and Long Range Communication Techniques for Wireless Underground Networks
NeTS:小型:UG 的 2G:无线地下网络的高数据速率和远距离通信技术
- 批准号:
1619285 - 财政年份:2016
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
NeTS: Small: Advancing Time Synchronization for Sustainable Wireless Networks
NeTS:小型:推进可持续无线网络的时间同步
- 批准号:
1423379 - 财政年份:2014
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Collaborative Research: Cog-TV: Business and Technical Analysis of Cognitive Radio TV Sets for Enhanced Spectrum Access
合作研究:Cog-TV:用于增强频谱访问的认知无线电电视机的业务和技术分析
- 批准号:
1247941 - 财政年份:2013
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
SBIR Phase I: Wise-Irr: Smart Irrigation via Wireless Underground Sensors
SBIR 第一阶段:Wise-Irr:通过无线地下传感器进行智能灌溉
- 批准号:
1315770 - 财政年份:2013
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
I-Corps: Wis-Irr: Smart Irrigation via Wireless Underground Sensors
I-Corps:Wis-Irr:通过无线地下传感器进行智能灌溉
- 批准号:
1248926 - 财政年份:2012
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
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