Excellence in Research: Developing a Robust, Distributed, and Automated Sensing and Control System for Smart Agriculture
Lead PI:
Ali Karimoddini
Co-PI:
Abstract

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.

Ali Karimoddini
Ali Karimoddini is a Professor at the Department of Electrical and Computer Engineering, North Carolina Agricultural and Technical State University . He is the Director of the CR2C2 Regional University Transportation Center, the Director of the NC-CAV Center of Excellence on Advanced Transportation Technology, and the Director of the ACCESS Laboratory at North Carolina A&T State University. His research interests include autonomy, smart transportation, Urban Air Mobility (UAM), connected and autonomous vehicles, cyber-physical systems, and multi-agent systems.
Performance Period: 10/01/2018 - 09/30/2024
Institution: North Carolina Agricultural & Technical State University
Sponsor: NSF
Award Number: 1832110