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.

为了满足迅速增长的粮食需求，提高农业生产的质量和数量，有必要改进农业领域的耕作管理做法和技术发展。该项目将协同控制，机器人，遥感和农业工程方面的专业知识，开发智能农业系统自动监控的新方法，作为重要的一类网络物理系统（CPS）。 该奖项支持基础研究，通过采用分布式机载网络传感器系统为无人机（UAV）团队调查农场，为智能农业系统开发创新技术。与使用地面操作员或车辆监测农场的传统作物管理方法不同，所提出的用于农田空中监测的方法最大限度地减少了地面操作的部署，避免了对农场健康部分的作物的损害。本项目的目标是：（1）开发用于调查农场的分布式空中监测系统，以检测可能的作物损害或营养缺乏区域，以及（2）在北卡罗来纳州农业技术州立大学（NC A T）农场上实施和演示所开发的用于农业应用的UAV协调方法&。为了实现这些目标，将开发一种最佳规划技术，用于协调无人机，同时考虑其物理限制和安全因素，确保对农场进行全面调查并遵守传感要求。将开发一种自动决策技术，以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。与拟议的研究相结合的是一个创新的教育和推广计划，将吸引各种各样的学生，农民，和当地社区成员在STEM-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。

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

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

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

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