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http://bura.brunel.ac.uk/handle/2438/26481| Title: | Deployment of an autonomous fleet of UAVs for Assessing the NDVI of Regenerative Farming |
| Authors: | Almalki, FA Angelides, MC |
| Keywords: | autonomous UAV fleet;IoT;machine learning;wireless communications;regenerative farming |
| Issue Date: | 19-Jun-2023 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Citation: | Almalki, F.A. and Angelides, M.C. (2023) 'Deployment of an autonomous fleet of UAVs for Assessing the NDVI of Regenerative Farming', 2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS), Valencia, Spain, 19-23 June, pp. 1 - 8. doi: 10.1109/ICCNS58795.2023.10193565. |
| Description: | An extended vesion of this paper was published as: Almalki, F.A. and Angelides, M.C. (2025) 'Integrating machine learning with a positioning mechanism for managing interference and power consumption in a multilayer fleet of unmanned aerial platforms', Cluster Computing, 28 (6), 378, pp. 1 - 15. doi url: https://doi.org/10.1007/s10586-024-05044-8. |
| URI: | https://bura.brunel.ac.uk/handle/2438/26481 |
| DOI: | https://doi.org/10.1109/ICCNS58795.2023.10193565 |
| ISBN: | 979-8-3503-3929-1 (ebk) 979-8-3503-3930-7 (PoD) |
| Other Identifiers: | ORCiD: Marios C. Angelides https://orcid.org/0000-0003-3931-4616 |
| Appears in Collections: | Brunel Design School Research Papers |
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|---|---|---|---|---|
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