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UAS, sensors, and data processing in agroforestry: a review towards practical applications
Abstract
The aim of this study is twofold: first, to present a survey of the actual and most advanced methods related to the use of unmanned aerial systems (UASs) that emerged in the past few years due to the technological advancements that allowed the miniaturization of components, leading to the availability of small-sized unmanned aerial vehicles (UAVs) equipped with Global Navigation Satellite Systems (GNSS) and high quality and cost-effective sensors; second, to advice the target audience – mostly farmers and foresters – how to choose the appropriate UAV and imaging sensor, as well as suitable approaches to get the expected and needed results of using technological tools to extract valuable information about agroforestry systems and its dynamics, according to their parcels’ size and crop’s types.Following this goal, this work goes beyond a survey regarding UAS and their applications, already made by several authors. It also provides recommendations on how to choose both the best sensor and UAV, in according with the required application. Moreover, it presents what can be done with the acquired sensors’ data through theuse of methods, procedures, algorithms and arithmetic operations. Finally, some recent applications in the agroforestry research area are presented, regarding the main goal of each analysed studies, the used UAV, sensors, and the data processing stage to reach conclusions.
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Citations
Cited by
Barbedo, J. (2019) · Drones · doi:10.3390/drones3020040 · Cited by 391
Remote Sensing Techniques for Soil Organic Carbon Estimation: A Review
Angelopoulou, T., Tziolas, N., Balafoutis, A., Zalidis, G., & Bochtis, D. (2019) · Remote Sensing · doi:10.3390/rs11060676 · Cited by 382
A Comprehensive Review of Recent Research Trends on Unmanned Aerial Vehicles (UAVs)
Telli, K., Kraa, O., Himeur, Y., Ouamane, A., Boumehraz, M., Atalla, S., & Mansoor, W. (2023) · Systems · doi:10.3390/systems11080400 · Cited by 331
Drones for Conservation in Protected Areas: Present and Future
Jiménez López, J., & Mulero-Pázmány, M. (2019) · Drones · doi:10.3390/drones3010010 · Cited by 300
UAV-Based Forest Health Monitoring: A Systematic Review
Ecke, S., Dempewolf, J., Frey, J., Schwaller, A., Endres, E., Klemmt, H.-J., Tiede, D., & Seifert, T. (2022) · Remote Sensing · doi:10.3390/rs14133205 · Cited by 284
Metadata
- Authors
- Pádua, L., Vanko, J., Hruška, J., Adão, T., Sousa, J. J., Peres, E., & Morais, R.
- Venue
- International Journal of Remote Sensing
- Publisher
- Informa UK Limited
- Published
- 2017-03-09
- Volume
- 38
- Issue
- 8-10
- Pages
- 2349-2391
- ISSN
- 0143-1161 (ISSN-L)
- 1366-5901
- OpenAlex
- W2593778105
- Cited by
- 345
- References
- 0
- FWCI
- 24.05
- Type
- journal article
- Language
- en
- Open access
- closed
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- Pádua, L., Vanko, J., Hruška, J., Adão, T., Sousa, J. J., Peres, E., & Morais, R. (2017). UAS, sensors, and data processing in agroforestry: a review towards practical applications. International Journal of Remote Sensing. https://doi.org/10.1080/01431161.2017.1297548
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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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