NSF Engineering Research Center for the Internet of Things for Precision Agriculture (IoT4Ag)
NSF 精准农业物联网工程研究中心 (IoT4Ag)
基本信息
- 批准号:1941529
- 负责人:
- 金额:$ 2600万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Cooperative Agreement
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-09-01 至 2025-08-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Ensuring food, energy, and water security is a societal grand challenge. By 2050, the US population is estimated to grow from 330 million to 400 million, and the world population from 7.8 billion to 9.7 billion, requiring a 70% increase in global food production. Current agricultural practices account for 70% of global water use, and energy use accounts for the largest cost on a farm. Furthermore, the current inefficient use of agrochemicals is altering Earth’s ecosystems. With finite arable land, water, and energy resources, there is a critical need for new technologies and innovations to improve the efficiency of food production. These challenges provide a unique opportunity for scientists, engineers, practitioners, and other stakeholders to come together and develop new technologies and solutions that would not be realized without a convergent approach. The NSF Engineering Research Center for the Internet of Things for Precision Agriculture (IoT4Ag) unites faculty and students from the University of Pennsylvania, Purdue University, the University of California at Merced, and the University of Florida with government and industry partners, establishing a convergence of expertise in agronomy, agricultural engineering, socio-economics, environmental science, and the science and engineering of physical and cyber-physical systems needed to transform agriculture. The goal of this center is to ensure food, energy, and water security by advancing technology to increase crop production while minimizing the use of energy and water resources and the impact of agricultural practices on the environment. To realize this mission, IoT4Ag will create and translate to practice Internet of Things (IoT) technologies for precision agriculture and train an educated and diverse workforce that will address the societal grand challenge of food, energy, and water security for decades to come. IoT4Ag institutions are located in regions of the United States of intense agricultural production and represent the diversity of both crops and agricultural environments across the country. The coverage of these diverse geographical locations will ensure that a broad range of crop types will benefit from the research, education, and training of IoT4Ag, leading to the successful transformation of agricultural practices for a sustainable and secure future. The IoT4Ag team will investigate how the complex systems of plant and environmental variables affect crop yield and resilience. To accomplish this task, center researchers will focus on the development of low-cost sensor technologies to measure these variables at relevant spatial and temporal scales. To utilize these sensors and the data collected, IoT4Ag will develop agriculture-specific communication technologies that relay data from sensors to both relevant farming equipment and to the cloud by autonomous aerial and ground-based robots equipped to be deployed at field scale. Data-driven models will capture plant physiology, soil properties and dynamics, historical weather trends and future forecasts, management practice variations, and socio-economic trends to provide farmers the situational awareness necessary for smart agricultural intervention and improved outcomes. Through the research and development of these proposed technologies and solutions, IoT4Ag will educate a diverse workforce of pre-college students, community college students, university students, and agriculture professionals through audience-specific lessons and hands-on classroom, laboratory, and field activities. These activities will arm this new workforce with the strong science and engineering knowledge to enable precision agriculture solutions. IoT4Ag will recruit, retain, and educate diverse participants and create a culture of inclusion through engagement, participation, and cohesion of a broad community of students, faculty, and professionals. This vibrant innovation ecosystem will bring together academic, government, and industry partners with the end-user farming community to ensure the rapid translation of IoT4Ag practices and technologies into commercial products and economic impact. Through all of these described activities, IoT4Ag will enable the transformation of agriculture, producing more crops for every drop of water or Joule of energy to realize a food, energy, and water-secure future for the United States.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.
确保粮食、能源和水安全是一项重大的社会挑战。到2050年,美国人口估计将从3.3亿增长到4亿,世界人口将从78亿增长到97亿,这需要全球粮食产量增加70%。目前的农业实践占全球用水量的70%,能源使用占农场成本的最大部分。 此外,目前农用化学品的低效使用正在改变地球的生态系统。由于可耕地、水和能源资源有限,迫切需要新技术和创新来提高粮食生产效率。这些挑战为科学家、工程师、从业者和其他利益相关者提供了一个独特的机会,让他们聚集在一起,开发新技术和解决方案,如果没有融合的方法,这些技术和解决方案就无法实现。NSF精准农业物联网工程研究中心(IoT4Ag)将宾夕法尼亚大学、普渡大学、加州大学默塞德分校和佛罗里达大学的教师和学生与政府和行业合作伙伴联合起来,建立了农学、农业工程、社会经济学、环境科学、以及改造农业所需的物理和网络物理系统的科学和工程。该中心的目标是通过提高作物产量的技术来确保粮食,能源和水安全,同时最大限度地减少能源和水资源的使用以及农业实践对环境的影响。为了实现这一使命,IoT4Ag将创建并转化为实践物联网(IoT)技术,用于精准农业,并培养受过良好教育的多元化劳动力,以应对未来几十年食品,能源和水安全的社会重大挑战。IoT 4Ag机构位于美国农业生产密集的地区,代表了全国农作物和农业环境的多样性。这些不同地理位置的覆盖范围将确保广泛的作物类型将受益于物联网4Ag的研究,教育和培训,从而成功转变农业实践,实现可持续和安全的未来。IoT4Ag团队将研究植物和环境变量的复杂系统如何影响作物产量和恢复力。为了完成这一任务,中心的研究人员将专注于开发低成本的传感器技术,以在相关的空间和时间尺度上测量这些变量。为了利用这些传感器和收集到的数据,IoT4Ag将开发农业专用通信技术,将传感器的数据中继到相关的农业设备,并通过配备在田间规模部署的自主空中和地面机器人将数据中继到云端。数据驱动模型将捕捉植物生理学、土壤特性和动态、历史天气趋势和未来预测、管理实践变化以及社会经济趋势,为农民提供智能农业干预和改善成果所需的情景意识。通过研究和开发这些拟议的技术和解决方案,IoT4Ag将通过针对特定受众的课程和动手课堂,实验室和实地活动,教育大学预科生,社区大学生,大学生和农业专业人员的多元化劳动力。这些活动将用强大的科学和工程知识武装这支新的劳动力队伍,以实现精准农业解决方案。IoT4Ag将招募,保留和教育不同的参与者,并通过学生,教师和专业人士的广泛社区的参与,参与和凝聚力来创造包容性文化。这个充满活力的创新生态系统将汇集学术、政府和行业合作伙伴与最终用户农业社区,以确保将物联网4Ag实践和技术快速转化为商业产品和经济影响。通过所有这些描述的活动,物联网4Ag将使农业转型,每一滴水或焦耳的能量生产更多的作物,为美国实现粮食,能源和水安全的未来。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Electromechanical modeling and experimental validation of a dual-transduction electrodynamic wireless power receiver
双传导电动无线电源接收器的机电建模和实验验证
- DOI:
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Halim, Miah A.;Spencer, Smith;Rendon-Hernandez, Adrian;Arnold, David
- 通讯作者:Arnold, David
A Wirelessly Rechargeable AA Battery Using Electrodynamic Wireless Power Transmission
- DOI:10.3390/en14092368
- 发表时间:2021-04
- 期刊:
- 影响因子:3.2
- 作者:S. E. Smith;M. A. Halim;S. Chyczewski;Adrian A. Rendon-Hernandez;D. Arnold
- 通讯作者:S. E. Smith;M. A. Halim;S. Chyczewski;Adrian A. Rendon-Hernandez;D. Arnold
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Cherie Kagan其他文献
Cherie Kagan的其他文献
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{{ truncateString('Cherie Kagan', 18)}}的其他基金
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