CyberSEES: Type 1: Improving Crop Production Efficiency using Wireless Underground Sensor-Guided Irrigation Systems

Cyber​​SEES：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

• 批准号: 1331895
• 负责人: Mehmet Vuran
• 金额: $ 30万
• 依托单位: University of Nebraska-Lincoln
• 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: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1331895&HistoricalAwards=false
• 关键词: CyberSEES; Type; Improving; Crop; Production

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（WUSNs）用于土壤参数监测的可行性，并设计了下一代自主灌溉管理工具，以提高作物生产效率。农业是淡水资源的最大用户，约占目前取水量的70-80%。随着需求的增加和淡水资源日益短缺，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来自土壤的实时信息馈送到灌溉管理系统，以具有成本效益的方式提高作物产量。该项目开发了一个概念验证灌溉管理试验台和相关的农业实践和工具，用于中心枢轴灌溉系统的自主控制。开发的工具集成到一个异构的架构，包括地下传感组件，中继节点，基于云的管理系统和移动的组件。该项目的这些成果将为实施变量灌溉概念做出重大贡献。此外，灌溉调度协议开发使用WUSN将占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、发射功率控制技术和振动能量收集系统来设计可持续的地下系统解决方案。由此产生的原型是第一个可持续的无线地下传感器系统，并能够调查本地传感数据和作物产量之间的关系。因此，该项目开发的在线管理工具将提高作物生产的长期效率，联合国粮食及农业组织的预测表明，到2050年世界人口将超过90亿。淡水资源日益受到限制，再加上人口增长，加剧了各部门之间对水的竞争，大大增加了用水者的压力。为了满足快速增长的世界人口对粮食和纤维的需求，生产性农业需要新技术。这项艰巨而富有挑战性的任务需要多学科的努力，以耦合各种工程和科学学科。该项目中开发的创新自主灌溉管理模式是新一代概念，可以实现如此广泛的影响。该项目支持计算机科学与工程和生物系统工程的研究生，以促进跨学科研究。该项目的成果和见解通过内布拉斯加大学林肯分校的推广计划和网络以及高质量的出版物，地方，区域，国家和国际会议和期刊传播给农民和农业产业。