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A survey on the application of path-planning algorithms for multi-rotor UAVs in precision agriculture

Published online by Cambridge University Press:  13 January 2022

Amin Basiri*
Affiliation:
Department of Engineering, University of Sannio in Benevento, Piazza Roma 21, 82100 Benevento, Italy.
Valerio Mariani
Affiliation:
Department of Engineering, University of Sannio in Benevento, Piazza Roma 21, 82100 Benevento, Italy.
Giuseppe Silano
Affiliation:
Faculty of Electrical Engineering, Czech Technical University in Prague, 16636 Prague 6, Czech Republic
Muhammad Aatif
Affiliation:
Department of Engineering, University of Sannio in Benevento, Piazza Roma 21, 82100 Benevento, Italy.
Luigi Iannelli
Affiliation:
Department of Engineering, University of Sannio in Benevento, Piazza Roma 21, 82100 Benevento, Italy.
Luigi Glielmo
Affiliation:
Department of Engineering, University of Sannio in Benevento, Piazza Roma 21, 82100 Benevento, Italy.
*
*Corresponding author. E-mail: basiri@unisannio.it

Abstract

Multi-rotor Unmanned Aerial Vehicles (UAVs), although originally designed and developed for defence and military purposes, in the last ten years have gained momentum, especially for civilian applications, such as search and rescue, surveying and mapping, and agricultural crops and monitoring. Thanks to their hovering and Vertical Take-Off and Landing (VTOL) capabilities and the capacity to carry out tasks with complete autonomy, they are now a standard platform for both research and industrial uses. However, while the flight control architecture is well established in the literature, there are still many challenges in designing autonomous guidance and navigation systems to make the UAV able to work in constrained and cluttered environments or also indoors. Therefore, the main motivation of this work is to provide a comprehensive and exhaustive literature review on the numerous methods and approaches to address path-planning problems for multi-rotor UAVs. In particular, the inclusion of a review of the related research in the context of Precision Agriculture (PA) provides a unified and accessible presentation for researchers who are initiating their endeavours in this subject.

Type
Review Article
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of The Royal Institute of Navigation

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