The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in smart farming: A comprehensive review
Abstract
Abstract Internet of Things (IoT) and Unmanned Aerial Vehicles (UAVs) are two hot technologies utilized in cultivation fields, which transform traditional farming practices into a new era of precision agriculture. In this paper, we perform a survey of the last research on IoT and UAV technology applied in agriculture. We describe the main principles of IoT technology, including intelligent sensors, IoT sensor types, networks and protocols used in agriculture, as well as IoT applications and solutions in smart farming. Moreover, we present the role of UAV technology in smart agriculture, by analyzing the applications of UAVs in various scenarios, including irrigation, fertilization, use of pesticides, weed management, plant growth monitoring, crop disease management, and field-level phenotyping. Furthermore, the utilization of UAV systems in complex agricultural environments is also analyzed. Our conclusion is that IoT and UAV are two of the most important technologies that transform traditional cultivation practices into a new perspective of intelligence in precision agriculture.
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Cites
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2444095 · Cited by 8,630
A survey on LPWA technology: LoRa and NB-IoT
Sinha, R. S., Wei, Y., & Hwang, S.-H. (2017) · ICT Express · doi:10.1016/j.icte.2017.03.004 · Cited by 1,020
Sa, I., Popović, M., Khanna, R., Chen, Z., Lottes, P., Liebisch, F., Nieto, J., Stachniss, C., Walter, A., & Siegwart, R. (2018) · Remote Sensing · doi:10.3390/rs10091423 · Cited by 305
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Digitalization to achieve sustainable development goals: Steps towards a Smart Green Planet
Mondejar, M. E., Avtar, R., Diaz, H. L. B., Dubey, R. K., Esteban, J., Gómez-Morales, A., Hallam, B., Mbungu, N. T., Okolo, C. C., Prasad, K. A., et al. (2021) · Science of The Total Environment · doi:10.1016/j.scitotenv.2021.148539 · Cited by 916
Precision Agriculture for Crop and Livestock Farming—Brief Review
Monteiro, A., Santos, S., & Gonçalves, P. (2021) · Animals · doi:10.3390/ani11082345 · Cited by 396
Islam, N., Rashid, M. M., Pasandideh, F., Ray, B., Moore, S., & Kadel, R. (2021) · Sustainability · doi:10.3390/su13041821 · Cited by 269
A Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture
Kalyani, Y., & Collier, R. (2021) · Sensors · doi:10.3390/s21175922 · Cited by 228
A review on object detection in unmanned aerial vehicle surveillance
Ramachandran, A., & Sangaiah, A. K. (2021) · International Journal of Cognitive Computing in Engineering · doi:10.1016/j.ijcce.2021.11.005 · Cited by 165
Metadata
- Authors
- Boursianis, A. D., Papadopoulou, M. S., Diamantoulakis, P., Liopa-Tsakalidi, A., Barouchas, P., Salahas, G., Karagiannidis, G., Wan, S., & Goudos, S. K.
- Venue
- Internet of Things
- Publisher
- Elsevier BV
- Published
- 2022-05
- Volume
- 18
- Pages
- 100187
- ISSN
- 2542-6605 (ISSN-L)
- OpenAlex
- W3010003004
- Cited by
- 885
- References
- 3
- FWCI
- 64.73
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in smart farming: A comprehensive review. https://app.cochat.ai/papers/10.1016/j.iot.2020.100187
- The paper
- Boursianis, A. D., Papadopoulou, M. S., Diamantoulakis, P., Liopa-Tsakalidi, A., Barouchas, P., Salahas, G., Karagiannidis, G., Wan, S., & Goudos, S. K. (2022). Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in smart farming: A comprehensive review. Internet of Things. https://doi.org/10.1016/j.iot.2020.100187
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
