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Exploring the Technical Advances and Limits of Autonomous UAVs for Precise Agriculture in Constrained Environments

Miled, Meriem Ben; Grande, Davide; Li, Xudong; Liu, Yuanchang; (2023) Exploring the Technical Advances and Limits of Autonomous UAVs for Precise Agriculture in Constrained Environments. In: Yi, Jingang, (ed.) 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE). IEEE: Auckland, New Zealand. Green open access

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Abstract

In the field of precise agriculture with autonomous unmanned aerial vehicles (UAVs), the utilization of drones holds significant potential to transform crop monitoring, management, and harvesting techniques. However, despite the numerous benefits of UAVs in smart farming, there are still several technical challenges that need to be addressed in order to render their widespread adoption possible, especially in constrained environments. This paper provides a study of the technical aspect and limitations of autonomous UAVs in precise agriculture applications for constrained environments.

Type: Proceedings paper
Title: Exploring the Technical Advances and Limits of Autonomous UAVs for Precise Agriculture in Constrained Environments
Event: 19th International Conference on Automation Science and Engineering
Dates: 26 Aug 2023 - 30 Aug 2023
ISBN-13: 979-8-3503-2069-5
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/case56687.2023.10260600
Publisher version: https://ieeexplore.ieee.org/document/10260600
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Smart agriculture; Crops; Transforms; Forestry; Soil; Optimization; Monitoring
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10178153
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