Applications of Aerial Aided Edge Computing in Disaster Management and Emergency Response, Environmental Monitoring and Conservation, Precision Agriculture and Crop Management, Infrastructure Inspection and Maintenance, Surveillance, and Public Safety
Abstract
Aerial Aided Edge Computing (AAEC) is an advancement of the technological revolution that incorporates edge computing with Unmanned Aerial Vehicles (UAVs), enabling instant data processing, and making decisions directly at the data collection source. This chapter discovers the AAEC applications and explores the challenges and future directions to gain insights into the role of AAEC across various sectors. AAEC eases the rapid situational awareness and efficient resource allocation in disaster management and emergency response. It provides real-time iconography and data analysis for search and emergency missions, destruction evaluation, and resource dissemination. AAEC enhances environmental monitoring and conservation efforts by providing exhaustive and sustainable Wildlife monitoring, forest well-being, and Contamination levels, facilitating the implementation of proactive conservation strategies. AAEC facilitates advancements in Precision agriculture and crop management to empower the monitoring of crop health, soil assessment, and field monitoring, enabling resource optimization and elevating crop productivity. In Infrastructure inspection and maintenance, the AAEC is integrated with UAVs to ensure prior detection of failures while performing detailed inspections of buildings, roads, and bridges. Ultimately, by employing data processing in real-time and analysis in the surveillance and public safety field, AAEC improves crime detection and prevention, crowd monitoring and traffic management. Transversely, in all these applications, AAEC delivers substantial advantages that include enhanced efficiency, elevated safety, and minimized operational costs.
Fields of Study & Subjects
IoT and Edge/Fog Computing
UAV Applications and Optimization
Energy and Environmental Systems
Publication details
- Journal / source
- Wiley eBooks
- Pages
- 63–102
- Publication date
- 26 February 2026
- Language
- EN
- Document type
- Book chapter