Excellence in Research: Developing a Robust, Distributed, and Automated Sensing and Control System for Smart Agriculture

卓越的研究：为智能农业开发稳健的分布式自动化传感和控制系统

• 批准号: 1832110
• 负责人: Ali Karimoddini
• 金额: $ 59.61万
• 依托单位: North Carolina Agricultural & Technical State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1832110&HistoricalAwards=false
• 关键词: Excellence; Research; Developing; Robust; Distributed

To accommodate rapidly growing food demands and increase the quality and quantity of agricultural production, it is necessary to improve farming management practices and technological developments in agricultural fields. This project will synergize expertise in Control, Robotics, Remote Sensing, and Agricultural Engineering to develop new approaches for automated monitoring of smart agricultural systems as an important class of cyber-physical systems (CPSs). This award supports fundamental research to develop innovative techniques for smart agricultural systems by employing a distributed airborne networked sensor system for a team of Unmanned Aerial Vehicles (UAVs) to survey a farm. Unlike traditional crop management methods that use ground operators or vehicles for monitoring farms, the proposed approach for airborne monitoring of agricultural fields minimizes deployment of on-the-ground operations, avoiding damaging crops on healthy parts of the farms.The objectives of this project are (1) developing a distributed airborne monitoring system for surveying farms to detect possible zones of crop damage or nutrition deficiency, and (2) implementing and demonstrating the developed methods for coordination of UAVs for agricultural applications over the North Carolina Agricultural and Technical State University (NC A&T) farm. To achieve these objectives, an optimal planning technique will be developed for coordinating UAVs while incorporating their physical constraints and safety considerations, ensuring a complete survey of the farm and respecting sensing requirements. An automated decision-making technique will be developed to process the collected imagery information and detect the problem spots in the farm and their size and severity. Integrated with the proposed research is an innovative education and outreach plan that will engage a diverse range of students, farmers, and local community members in STEM-relevant activities and agritechnological aspects of this project to increase public awareness on using new technologies for further development of 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.

为了满足快速增长的粮食需求，提高农业生产的质量和数量，有必要改进农业管理方式和农业领域的技术发展。该项目将整合控制、机器人、遥感和农业工程方面的专业知识，开发自动监控智能农业系统作为一类重要的网络物理系统（CPS）的新方法。 该奖项支持基础研究，通过使用分布式机载网络传感器系统让无人机（UAV）团队对农场进行勘察，开发智能农业系统的创新技术。与使用地面操作员或车辆来监测农场的传统作物管理方法不同，所提出的农田空中监测方法最大限度地减少了地面操作的部署，避免损害农场健康部分的作物。该项目的目标是（1）开发分布式机载监测系统，用于调查农场，以检测可能的作物受损或营养缺乏区域，以及（2）实施和演示已开发的 北卡罗来纳州农业技术州立大学 (NC A&T) 农场农业应用无人机协调方法。为了实现这些目标，将开发一种最佳规划技术来协调无人机，同时考虑其物理限制和安全考虑，确保对农场进行全面调查并尊重传感要求。将开发一种自动决策技术来处理收集到的图像信息并检测农场中的问题点及其大小和严重程度。与拟议研究相结合的是一项创新教育和推广计划，该计划将吸引各类学生、农民和当地社区成员参与该项目的 STEM 相关活动和农业技术方面，以提高公众对利用新技术进一步发展精准农业的认识。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查进行评估，被认为值得支持 标准。

项目成果

Flood Extent Mapping: An Integrated Method Using Deep Learning and Region Growing Using UAV Optical Data

• DOI: 10.1109/jstars.2021.3051873
• 发表时间: 2021-01-01
• 期刊: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
• 影响因子: 5.5
• 作者: Hashemi-Beni, Leila;Gebrehiwot, Asmamaw A.
• 通讯作者: Gebrehiwot, Asmamaw A.

Fault Diagnosis of Discrete Event Systems Under Unknown Initial Conditions

• DOI: 10.1109/tac.2019.2912712
• 发表时间: 2019-04
• 期刊: IEEE Transactions on Automatic Control
• 影响因子: 6.8
• 作者: A. White;A. Karimoddini;R. Su

An Area-Decomposition Based Approach for Cooperative Tasking and Coordination of UAVs in a Search and Coverage Mission

• DOI: 10.1109/aero.2019.8741565
• 发表时间: 2019-03
• 期刊: 2019 IEEE Aerospace Conference
• 作者: K. Vinh;S. Gebreyohannes;A. Karimoddini

IoT-Enabled Autonomous System Collaboration for Disaster-Area Management

• DOI: 10.1109/jas.2020.1003291
• 发表时间: 2020-09-01
• 期刊: IEEE-CAA JOURNAL OF AUTOMATICA SINICA
• 影响因子: 11.8
• 作者: Girma, Abenezer;Bahadori, Niloofar;Homaifar, Abdollah
• 通讯作者: Homaifar, Abdollah

On-the-Fly Decentralized Tasking of Autonomous Vehicles

自动驾驶车辆的动态分散任务分配

• DOI: 10.1109/cdc40024.2019.9029554
• 发表时间: 2019
• 期刊: 2019 IEEE 58th Conference on Decision and Control (CDC
• 作者: Tadewos, Tadewos G.;Shamgah, Laya;Karimoddini, Ali
• 通讯作者: Karimoddini, Ali