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      Unmanned aerial vehicles (UAVs): practical aspects, applications, open challenges, security issues, and future trends

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          Abstract

          Recently, unmanned aerial vehicles (UAVs) or drones have emerged as a ubiquitous and integral part of our society. They appear in great diversity in a multiplicity of applications for economic, commercial, leisure, military and academic purposes. The drone industry has seen a sharp uptake in the last decade as a model to manufacture and deliver convergence, offering synergy by incorporating multiple technologies. It is due to technological trends and rapid advancements in control, miniaturization, and computerization, which culminate in secure, lightweight, robust, more-accessible and cost-efficient UAVs. UAVs support implicit particularities including access to disaster-stricken zones, swift mobility, airborne missions and payload features. Despite these appealing benefits, UAVs face limitations in operability due to several critical concerns in terms of flight autonomy, path planning, battery endurance, flight time and limited payload carrying capability, as intuitively it is not recommended to load heavy objects such as batteries. As a result, the primary goal of this research is to provide insights into the potentials of UAVs, as well as their characteristics and functionality issues. This study provides a comprehensive review of UAVs, types, swarms, classifications, charging methods and regulations. Moreover, application scenarios, potential challenges and security issues are also examined. Finally, future research directions are identified to further hone the research work. We believe these insights will serve as guidelines and motivations for relevant researchers.

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          A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems

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            Survey on Unmanned Aerial Vehicle Networks for Civil Applications: A Communications Viewpoint

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              Is Open Access

              Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives

              Phenotyping plays an important role in crop science research; the accurate and rapid acquisition of phenotypic information of plants or cells in different environments is helpful for exploring the inheritance and expression patterns of the genome to determine the association of genomic and phenotypic information to increase the crop yield. Traditional methods for acquiring crop traits, such as plant height, leaf color, leaf area index (LAI), chlorophyll content, biomass and yield, rely on manual sampling, which is time-consuming and laborious. Unmanned aerial vehicle remote sensing platforms (UAV-RSPs) equipped with different sensors have recently become an important approach for fast and non-destructive high throughput phenotyping and have the advantage of flexible and convenient operation, on-demand access to data and high spatial resolution. UAV-RSPs are a powerful tool for studying phenomics and genomics. As the methods and applications for field phenotyping using UAVs to users who willing to derive phenotypic parameters from large fields and tests with the minimum effort on field work and getting highly reliable results are necessary, the current status and perspectives on the topic of UAV-RSPs for field-based phenotyping were reviewed based on the literature survey of crop phenotyping using UAV-RSPs in the Web of Science™ Core Collection database and cases study by NERCITA. The reference for the selection of UAV platforms and remote sensing sensors, the commonly adopted methods and typical applications for analyzing phenotypic traits by UAV-RSPs, and the challenge for crop phenotyping by UAV-RSPs were considered. The review can provide theoretical and technical support to promote the applications of UAV-RSPs for crop phenotyping.
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                Author and article information

                Contributors
                Hassnainagha@zju.edu.cn
                Journal
                Intell Serv Robot
                Intell Serv Robot
                Intelligent Service Robotics
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                1861-2776
                1861-2784
                16 January 2023
                : 1-29
                Affiliations
                [1 ]GRID grid.13402.34, ISNI 0000 0004 1759 700X, Optical Communications Laboratory, Ocean College, , Zhejiang University, ; Zheda Road 1, Zhoushan, 316021 Zhejiang China
                [2 ]GRID grid.440736.2, ISNI 0000 0001 0707 115X, School of Telecommunications Engineering, , Xidian University, ; Xi’an, China
                [3 ]GRID grid.440723.6, ISNI 0000 0001 0807 124X, Ministry of Education Key Laboratory of Cognitive Radio and Information Processing, , Guilin University of Electronic Technology, ; Guilin, 541004 China
                [4 ]GRID grid.263333.4, ISNI 0000 0001 0727 6358, Department of Electrical Engineering, College of Electronics and Information Engineering, , Sejong University, ; Seoul, 05006 Korea
                [5 ]Department of Electrical Engineering, Hamdard Institute of Engineering & Technology, Islamabad, 44000 Pakistan
                Author information
                http://orcid.org/0000-0002-5810-4983
                Article
                452
                10.1007/s11370-022-00452-4
                9841964
                36687780
                25cea907-acd2-4f8d-a58e-5be6611be16d
                © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 8 February 2022
                : 21 December 2022
                Categories
                Review Article

                uavs,path planning,batteries,charging,swarms,applications
                uavs, path planning, batteries, charging, swarms, applications

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