Authors :
Nishant Anand; Prabhjot Singh; Prerna Agarwal; Riya Sagar; Saladi Kalyan Somanna; Shobha T
Volume/Issue :
Volume 10 - 2025, Issue 1 - January
Google Scholar :
https://tinyurl.com/mueswam7
Scribd :
https://tinyurl.com/48k425rx
DOI :
https://doi.org/10.5281/zenodo.14730637
Abstract :
This survey paper gives a comprehensive overview of the applications, challenges, and future prospects of drone technology
discussed in the research paper "Case Studies on Drones." It explores the application of drones in sectors such as health,
agriculture, environmental monitoring, and disaster response. It highlights the benefits of drone technology in improving
efficiency, reducing costs, and overcoming logistical challenges in remote and resource-poor environments. The survey also
discusses the challenges associated with drone technology, including regulatory barriers, payload limitations, and
environmental conditions. By examining these aspects, the paper aims to provide a comprehensive understanding of the
current state and future potential of drone technology.
Keywords :
Drones, UAVs, Healthcare Applications, Environmental Monitoring, Precision Agriculture, Logistics, Disaster Management, Future Technology, AI Integration.
References :
- Newman, C. (2012). ‘Moralization’ of Technologies – Military Drones: A Case Study. https://www.e-ir.info/2012/05/02/moralization-of-technologies-military-drones-a-case-study/
- Falorca, J. F., Miraldes, J. P. N. D., & Lanzinha, J. (n.d.). New trends in visual inspection of buildings and structures: Study for the use of drones. Walter de Gruyter GmbH. https://doi.org/10.1515/eng-2021-0071
- Kitonsa, H., & Kruglikov, S. V. (n.d.). Significance of drone technology for achievement of the United Nations sustainable development goals. Уральский Федеральный Университет. https://doi.org/10.15826/recon.2018.4.3.016
- Greengard, S. (n.d.). When drones fly. Association for Computing Machinery (ACM). https://doi.org/10.1145/3360913
- Panjaitan, S. D., Dewi, Y. S. K., Hendri, M. I., Wicaksono, R. A., & Priyatman, H. (2022). A Drone Technology Implementation Approach to Conventional Paddy Fields Application. IEEE Access, 10, 120650–120658. https://doi.org/10.1109/ACCESS.2022.3221188
- Covaciu, F., & Iordan, A.-E. (2022). Control of a Drone in Virtual Reality Using MEMS Sensor Technology and Machine Learning. https://doi.org/10.3390/mi13040521
- Axford, D., Sohel, F., Vanderklift, M. A., & Hodgson, A. J. (2024). Collectively advancing deep learning for animal detection in drone imagery: Successes, challenges, and research gaps. Ecological Informatics, 83, 102842. https://doi.org/10.1016/j.ecoinf.2024.102842
- Baig, Z., Khan, M. A., Mohammad, N., & Brahim, G. (2022). Drone Forensics and Machine Learning: Sustaining the Investigation Process. https://doi.org/10.3390/su14084861
- Maghazei, O., & Netland, T. H. (n.d.). Drones in manufacturing: exploring opportunities for research and practice. Emerald Group Publishing Ltd. https://doi.org/10.1108/JMTM-03-2019-0099
- Rocke, B., & Ruffell, A. (2022). Detection of Single Burials Using Multispectral Drone Data: Three Case Studies. https://doi.org/10.3390/forensicsci2010006
- Munawar, H. S., Ullah, F., Heravi, A., Thaheem, M. J., & Maqsoom, A. (2022). Inspecting Buildings Using Drones and Computer Vision: A Machine Learning Approach to Detect Cracks and Damages. https://doi.org/10.3390/drones6010005
- Maghazei, O., Lewis, M. A., & Netland, T. H. (2022). Emerging technologies and the use case: A multi‐year study of drone adoption. https://doi.org/10.1002/joom.1196
- Taha, B., & Shoufan, A. (2019). Machine Learning-Based Drone Detection and Classification: State-of-the-Art in Research. IEEE Access, 7, 138669–138682. https://doi.org/10.1109/ACCESS.2019.2942944
- Shan, L., Miura, R., Kagawa, T., Ono, F., Li, H.-B., & Kojima, F. (2019). Machine Learning-Based Field Data Analysis and Modeling for Drone Communications. IEEE Access, 7, 79127–79135. https://doi.org/10.1109/ACCESS.2019.2922544
- O'Connell, Mary Ellen, Unlawful Killing with Combat Drones: A Case Study of Pakistan, 2004-2009. SHOOTING TO KILL: THE LAW GOVERNING LETHAL FORCE IN CONTEXT, Simon Bronitt, ed., Forthcoming, Notre Dame Legal Studies Paper No. 09-43, Available at SSRN: https://ssrn.com/abstract=1501144
- Nabisha, A., V, S., & R, A. P. (2024). Self-consuming solar-powered campus monitoring drone. https://doi.org/10.30574/wjaets.2024.13.1.0417
- Umeda, S., Yoshikawa, N., & Seo, Y. (2022). Cost and Workload Assessment of Agricultural Drone Sprayer: A Case Study of Rice Production in Japan. https://doi.org/10.3390/su141710850
- Tripicchio, P., Satler, M., Dabisias, G., Ruffaldi, E., & Avizzano, C. A. (2015). Towards Smart Farming and Sustainable Agriculture with Drones. 2015 International Conference on Intelligent Environments, 140–143. https://doi.org/10.1109/IE.2015.29
- Kardasz, P., Doskocz, J., Hejduk, M., Wiejkut, P., & Zarzycki, H. (2016). Drones and Possibilities of Their Using. Journal of Civil and Environmental Engineering, 6(3), 1–7. https://doi.org/10.4172/2165-784X.1000233
- Gharibi, M., Boutaba, R., & Waslander, S. L. (2016). Internet of Drones. IEEE Access, 4, 1148–1162. https://doi.org/10.1109/ACCESS.2016.2537208
- Ayamga, M., Akaba, S., & Nyaaba, A. A. (2021). Multifaceted applicability of drones: A review. Technological Forecasting and Social Change, 167, 120677. https://doi.org/10.1016/j.techfore.2021.120677
- Enayati, S., Campbell, J. F., & Li, H. (2023). Vaccine distribution with drones for less developed countries: A case study in Vanuatu. Vaccine, 14, 100312. https://doi.org/10.1016/j.jvacx.2023.100312
- Gangwal, A., Jain, A., & Mohanta, S. (n.d.). Blood Delivery by Drones: A Case Study on Zipline. https://www.ijirset.com/upload/2019/august/63_Blood.PDF
- Farina, P., Rossi, G., Tanteri, L., Salvatici, T., Gigli, G., Moretti, S., & Casagli, N. (n.d.). The use of multi-copter drones for landslide investigations. https://flore.unifi.it/retrieve/handle/2158/1094159/256314/Farina%20et%20al%20NASL%202017.pdf
- Ridolfi, E., & Manciola, P. (n.d.). Water Level Measurements from Drones: A Pilot Case Study at a Dam Site. Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/w10030297
This survey paper gives a comprehensive overview of the applications, challenges, and future prospects of drone technology
discussed in the research paper "Case Studies on Drones." It explores the application of drones in sectors such as health,
agriculture, environmental monitoring, and disaster response. It highlights the benefits of drone technology in improving
efficiency, reducing costs, and overcoming logistical challenges in remote and resource-poor environments. The survey also
discusses the challenges associated with drone technology, including regulatory barriers, payload limitations, and
environmental conditions. By examining these aspects, the paper aims to provide a comprehensive understanding of the
current state and future potential of drone technology.
Keywords :
Drones, UAVs, Healthcare Applications, Environmental Monitoring, Precision Agriculture, Logistics, Disaster Management, Future Technology, AI Integration.