The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Drones in Precision Agriculture: A Comprehensive Review of Applications, Technologies, and Challenges
Open accessAbstract
In the face of growing challenges in modern agriculture, such as climate change, sustainable resource management, and food security, drones are emerging as essential tools for transforming precision agriculture. This systematic review, based on an in-depth analysis of recent scientific literature (2020–2024), provides a comprehensive synthesis of current drone applications in the agricultural sector, primarily focusing on studies from this period while including a few notable exceptions of particular interest. Our study examines in detail the technological advancements in drone systems, including innovative aerial platforms, cutting-edge multispectral and hyperspectral sensors, and advanced navigation and communication systems. We analyze diagnostic applications, such as crop monitoring and multispectral mapping, as well as interventional applications like precision spraying and drone-assisted seeding. The integration of artificial intelligence and IoTs in analyzing drone-collected data is highlighted, demonstrating significant improvements in early disease detection, yield estimation, and irrigation management. Specific case studies illustrate the effectiveness of drones in various crops, from viticulture to cereal cultivation. Despite these advancements, we identify several obstacles to widespread drone adoption, including regulatory, technological, and socio-economic challenges. This study particularly emphasizes the need to harmonize regulations on beyond visual line of sight (BVLOS) flights and improve economic accessibility for small-scale farmers. This review also identifies key opportunities for future research, including the use of drone swarms, improved energy autonomy, and the development of more sophisticated decision-support systems integrating drone data. In conclusion, we underscore the transformative potential of drones as a key technology for more sustainable, productive, and resilient agriculture in the face of global challenges in the 21st century, while highlighting the need for an integrated approach combining technological innovation, adapted policies, and farmer training.
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Page, M. J., Moher, D., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., et al. (2021) · BMJ · doi:10.1136/bmj.n160 · Cited by 13,262 · cited 1×
“This systematic literature review on the utilization of drones in agriculture adheres to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, ensuring a rigorous, transparent, and reproducible approach [16].”
Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture
Lu, B., Dao, P., Liu, J., He, Y., & Shang, J. (2020) · Remote Sensing · doi:10.3390/rs12162659 · Cited by 1,231
A Review on UAV-Based Applications for Precision Agriculture
Tsouros, D. C., Bibi, S., & Sarigiannidis, P. G. (2019) · Information · doi:10.3390/info10110349 · Cited by 1,223
Mohsan, S. A. H., Othman, N. Q. H., Li, Y., Alsharif, M. H., & Khan, M. A. (2023) · Intelligent Service Robotics · doi:10.1007/s11370-022-00452-4 · Cited by 1,062
Climate change has likely already affected global food production
Ray, D. K., West, P. C., Clark, M., Gerber, J. S., Prishchepov, A. V., & Chatterjee, S. (2019) · PLOS ONE · doi:10.1371/journal.pone.0217148 · Cited by 989
Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture
Maes, W. H., & Steppe, K. (2019) · Trends in Plant Science · doi:10.1016/j.tplants.2018.11.007 · Cited by 970
A compilation of UAV applications for precision agriculture
Radoglou-Grammatikis, P., Sarigiannidis, P., Lagkas, T., & Moscholios, I. (2020) · Computer Networks · doi:10.1016/j.comnet.2020.107148 · Cited by 957
Understanding the potential applications of Artificial Intelligence in Agriculture Sector
Javaid, M., Haleem, A., Khan, I. H., & Suman, R. (2023) · Advanced Agrochem · doi:10.1016/j.aac.2022.10.001 · Cited by 862
Drones in agriculture: A review and bibliometric analysis
Rejeb, A., Abdollahi, A., Rejeb, K., & Treiblmaier, H. (2022) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2022.107017 · Cited by 701
Kim, J., Kim, S., Ju, C., & Son, H. I. (2019) · IEEE Access · doi:10.1109/access.2019.2932119 · Cited by 612
Metadata
- Authors
- Guebsi, R., Mami, S., & Chokmani, K.
- Venue
- Drones
- Publisher
- MDPI AG
- Published
- 2024-11-19
- Volume
- 8
- Issue
- 11
- Pages
- 686
- ISSN
- 2504-446X (ISSN-L)
- OpenAlex
- W4404524569
- Cited by
- 294
- References
- 59
- FWCI
- 65.72
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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