TYPES OF UNMANNED AERIAL VEHICLES AND THEIR APPLICATIONS

Authors

  • Rajabbayeva Barno Master's Student, Department of Computer Engineering Urgench State University named after Abu Rayhon Biruni,Urgench,Uzbekistan Author
  • Hikmat Jumanazarovich PhD, Dean of the Faculty of Computer Engineering, Urgench State University named after Abu Rayhan Biruni, Urgench,Uzbekistan Author

DOI:

https://doi.org/10.65164/2q8vdc96

Keywords:

UAV, fixed-wing, rotary-wing, FANETs, 5G, precision agriculture, artificial intelligence, hydrogen fuel cells, smart city.

Abstract

This research explores the classification and diverse practical applications of
Unmanned Aerial Vehicles (UAVs) in contemporary settings. The paper categorizes UAVs into
fixed-wing, rotary-wing, and hybrid models, providing a comparative analysis of their specific
functional advantages such as flight endurance, maneuverability, and vertical takeoff capabilities.
The study highlights how technological advancements, including 5G networks, Flying Ad-Hoc
Networks (FANETs), and AI-coordinated swarms, have revolutionized aerial operations by enabling
high-speed, low-latency communication and complex mission planning. Key application sectors—
encompassing military reconnaissance, precision agriculture, search and rescue, and delivery
services—are detailed to showcase the UAV’s transformative impact on society and modern smart
city infrastructures. Finally, the paper discusses future trends focusing on sustainable energy solutions
like hydrogen fuel cells and solar power, while addressing critical challenges in privacy, security, and
regulatory frameworks.

References

[1]. K. T. O., K. Y. H. A., O. M. B., S. A., & W. M. (2023). A comprehensive review of recent research

trends on unmanned aerial vehicles (UAVs). Systems. https://doi.org/10.3390/systems11080400

[2]. K. M. Q., W. J. X., W. C. Z., F. R. S., & A. L. S. (2023). UAV-enabled integrated sensing and

communication: Opportunities and challenges. IEEE Wireless Communications.

https://doi.org/10.1109/mwc.131.2200442

255

[3]. D. H. H., D. T. J., A. K. E., & A. (2024). Generative AI for unmanned vehicle swarms: Challenges,

applications and opportunities. arXiv. http://arxiv.org/abs/2402.18062

[4]. B. A. O., A. G. R., M. W. E., & A. (2019). Comprehensive investigation on hydrogen and fuel cell

technology in the aviation and aerospace sectors. Elsevier BV.

https://core.ac.uk/download/188183190.pdf

[5]. Z. W. (2024). Overview and energy power analysis of composite solar unmanned aerial vehicles.

Advances in Engineering Technology Research.

https://www.semanticscholar.org/paper/2ee04da829bf7e941c961a1acad43324cefbeb81

[6]. S. F. A., S. T. M., T. A. S., T. S. Y., H. F. M., & H. H. (2024). Applications, challenges, and solutions

of unmanned aerial vehicles in smart city using blockchain. PeerJ Computer Science.

https://www.semanticscholar.org/paper/d577ba4a08fd95ede09ab02b51571c5a67f76ef5

[7]. U. H. (2023). Analyzing spray coverage and deposition using spraying drones in vineyards.

https://core.ac.uk/download/596365651.pdf

[8]. C. M. V. M. (2024). Drones in vegetable crops: A systematic literature review.

https://core.ac.uk/download/599094191.pdf

[9]. M. M. S., A. M. F., N. D. S., & H. M. (2023). Tethered unmanned aerial vehicles—A systematic review.

Robotics. https://doi.org/10.3390/robotics12040117

[10]. M. L. Y., Z. C., H. H. H. (2023). Unmanned aerial vehicles for search and rescue: A survey. Remote

Sensing. https://doi.org/10.3390/rs15133266

[11]. I.S. M., & R. (2023). Drones on the rise: Exploring the current and future potential of UAVs. arXiv.

http://arxiv.org/abs/2304.13702

[12]. B. F. N., & K. (2021). Automatic identification and monitoring of plant diseases using unmanned

aerial vehicles: A review. Digital Scholarship @ Tennessee State University.

https://core.ac.uk/download/483721862.pdf

[13]. K. T. O., K. Y. H. A., O. M. B., S. A., & W. M. (2023). A comprehensive review of recent research

trends on unmanned aerial vehicles (UAVs). Systems. https://doi.org/10.3390/systems11080400

[14]. P. M. S., W. M. L. (2022). A survey on the convergence of edge computing and AI for UAVs:

Opportunities and challenges. IEEE Internet of Things Journal.

https://doi.org/10.1109/jiot.2022.3176400

[15]. T. K. B., S. G. S., S. B. R. S. (2024). Flying ad-hoc networks (FANETs): A review. EAI Endorsed

Transactions on Energy Web.

https://www.semanticscholar.org/paper/fe3b4c9544ea6bf7438b4b28cf8a7977d3504d11

[16]. L. B. V., K. M. G. (2024). Low latency video streaming system for VR teleoperation over 5G networks.

In Proceedings of the 2024 IEEE International Conference on Metrology for Extended Reality, Artificial

Intelligence and Neural Engineering (MetroXRAINE).

Downloads

Published

2026-04-14