CAREER: Recycling the Radio Spectrum for Science: A New Paradigm for UAS-based Precision Agriculture

职业：科学回收无线电频谱：基于 UAS 的精准农业的新范式

• 批准号: 2405807
• 负责人: Mehmet Kurum
• 金额: $ 50万
• 依托单位: University of Georgia Research Foundation Inc
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2027-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2405807&HistoricalAwards=false
• 关键词: CAREER; Recycling; Radio; Spectrum; Science

Demand for radio spectrum space is growing quickly, spurred by the explosion of emerging technologies such as the Internet of Things (IoT), Unmanned Aircraft Systems (UASs), and 5G networks. Unfortunately, the growth of active wireless systems often increases radio frequency (RF) interference (RFI) in science observations. As it stands, very little of the RF spectrum is dedicated to science, and the small amount of spectrum available can fall victim to neighboring RFI or re-allocation for commercial use in the wake of the growing demand for bandwidth in commercial applications. This project focuses on changing the paradigm of remote sensing methods and developing next generation technologies and ideas that are more spectrum efficient, more effective, and meet the challenges of present and future spectrum congestion. In particular, the project will recycle existing RF communication and navigation signals to enable new remote sensing methodologies at these commercially protected bands for scientific use in a myriad of practical solutions for precision agriculture, forestry, water conservation. This project will demonstrate new, low-cost sensing technologies in practical settings and contribute to the agriculture economy. The developed technology aims to usher in a host of precision irrigation for agricultural applications in the nation and worldwide with emphasis in economically distressed areas and developing countries. The complementary educational goals of the Principal Investigator (PI) are to generate a greater awareness and understanding among students, the public, and farmers about the amazing world of microwave remote sensing and its utility for non-intrusive tracking of the world’s most precious resource: water in plants and soil. The project will support the PI’s efforts to broaden the participation of today’s diverse students, including underrepresented minority groups, in STEM education though activities such as new mobile apps, drones, games, and fun facts. This project will construct fundamental microwave remote sensing science, a disruptive sensing framework, and integrated ubiquitous platforms that are non-intrusive, widely accessible, and automated to improve water utilization. This goal will be realized by offering at least three specific new contributions: (1) generating fundamental knowledge needed for a paradigm shift towards microwave bands in UAS-based precision agriculture, (2) designing an integrated/connected RF testbed for evaluating the new paradigm, and (3) integrating smartphones into low-cost drones for broader adaptation. These objectives will be achieved by conducting advanced electromagnetic modeling and simulations, physics-aware machine-learning-based soil moisture retrievals, and field validation. Specifically, this work will generate the scientific basis for accurate water monitoring of root-zone soil moisture observations by recycling low-frequency emissions in microwave spectrum from small drones. Exploring the low-frequency microwave spectrum for remote sensing from drones is unprecedented because no existing small drone instrument is capable of remote sensing at such low frequencies in microwave spectrum. This project will fill in the necessary scientific basis to evaluate the approach’s feasibility and develop the foundation for the algorithms to support such a paradigm. This work will be important for developing the requirements for water utilization in irrigated and rainfed farming and creating algorithms for the new paradigm of RF-assisted UAS-based precision agriculture.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

不幸的是，对无线电空间的需求正在迅速增长，这是事物互联网（IoT）筏系统（UASS）和5G网络的需求它的立场很少，RF频谱几乎没有专门用于科学遗产，这可能是邻近RFI的受害者或重新分配商业用途，因为您对商业应用程序中对带宽的需求不断增长。并开发出染上活力的下一个技术和思想，并满足当前和富裕的拥塞的挑战。现在，林业建设。无侵入性跟踪世界上最珍贵的资源：植物和土壤中的水。有趣的事实。 （2）设计一个集成的RF测试床，以评估新的范式低成本无人机以进行更广泛的适应性。尿酸含水的水分湿度观测值是从小型无人机中的微波频谱中的频率排放。该项目将填补必要的科学依据，以评估该方法的ITY，并为支持这种范式的算法奠定基础。基于RF的精确农业的新范式的算法。该奖项反映了NSF'Sf'Story Dismiss D，认为使用Toundation的知识分子优点和更广泛的影响审查标准，认为值得通过评估来获得支持。