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The application of small unmanned aerial systems for precision agriculture: a review
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Citations
Cited by
Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges
Shakhatreh, H., Sawalmeh, A. H., Al-Fuqaha, A., Dou, Z., Almaita, E., Khalil, I., Othman, N. S., Khreishah, A., & Guizani, M. (2019) · IEEE Access · doi:10.1109/access.2019.2909530 · Cited by 2,529
Otto, A., Agatz, N., Campbell, J., Golden, B., & Pesch, E. (2018) · Networks · doi:10.1002/net.21818 · Cited by 985
“The existing literature surveys on drones mostly focus on specific fields of application, such as glaciology [30], coastal surveying [279], or precision agriculture [317].”
BackgroundLand-cover classification with high-resolution remote sensing images using transferable deep models
Tong, X.-Y., Xia, G.-S., Lu, Q., Shen, H., Li, S., You, S., & Zhang, L. (2020) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.111322 · Cited by 978
Precision farming at the nexus of agricultural production and the environment
Finger, R., Swinton, S. M., El Benni, N., & Walter, A. (2019) · Annual Review of Resource Economics · doi:10.1146/annurev-resource-100518-093929 · Cited by 539
What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?
Hunt, E. R., & Daughtry, C. S. T. (2018) · International Journal of Remote Sensing · doi:10.1080/01431161.2017.1410300 · Cited by 325
Metadata
- Authors
- Zhang, C., & Kovacs, J. M.
- Venue
- Precision Agriculture
- Published
- 2012-07-31
- Volume
- 13
- Issue
- 6
- Pages
- 693-712
- ISSN
- 1385-2256 (ISSN-L)
- 1573-1618
- OpenAlex
- W2074464158
- Cited by
- 2,012
- References
- 0
- FWCI
- 30.05
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: The application of small unmanned aerial systems for precision agriculture: a review. https://app.cochat.ai/papers/10.1007/s11119-012-9274-5
- The paper
- Zhang, C., & Kovacs, J. M. (2012). The application of small unmanned aerial systems for precision agriculture: a review. Precision Agriculture. https://doi.org/10.1007/s11119-012-9274-5
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.
