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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Remote sensing technology is vital for precision agriculture, aiding in early issue detection, resource management, and environmentally friendly practices. Recent advances in remote sensing technology and data processing have propelled unmanned aerial vehicles (UAVs) into valuable tools for obtaining detailed data on plant diseases with high spatial, temporal, and spectral resolution. Given the growing body of scholarly research centered on UAV-based disease detection, a comprehensive review and analysis of current studies becomes imperative to provide a panoramic view of evolving methodologies in plant disease monitoring and to strategically evaluate the potential and limitations of such strategies. This study undertakes a systematic quantitative literature review to summarize existing literature and discern current research trends in UAV-based applications for plant disease detection and monitoring. Results reveal a global disparity in research on the topic, with Asian countries being the top contributing countries (43 out of 103 papers). World regions such as Oceania and Africa exhibit comparatively lesser representation. To date, research has largely focused on diseases affecting wheat, sugar beet, potato, maize, and grapevine. Multispectral, reg-green-blue, and hyperspectral sensors were most often used to detect and identify disease symptoms, with current trends pointing to approaches integrating multiple sensors and the use of machine learning and deep learning techniques. Future research should prioritize (i) development of cost-effective and user-friendly UAVs, (ii) integration with emerging agricultural technologies, (iii) improved data acquisition and processing efficiency (iv) diverse testing scenarios, and (v) ethical considerations through proper regulations.

Details

Title
A Review on UAV-Based Applications for Plant Disease Detection and Monitoring
Author
Kouadio, Louis 1   VIAFID ORCID Logo  ; Moussa El Jarroudi 2   VIAFID ORCID Logo  ; Belabess, Zineb 3   VIAFID ORCID Logo  ; Salah-Eddine Laasli 4   VIAFID ORCID Logo  ; Md Zohurul Kadir Roni 5   VIAFID ORCID Logo  ; Ibn Dahou Idrissi Amine 6   VIAFID ORCID Logo  ; Mokhtari, Nourreddine 6 ; Mokrini, Fouad 7   VIAFID ORCID Logo  ; Junk, Jürgen 8   VIAFID ORCID Logo  ; Lahlali, Rachid 9   VIAFID ORCID Logo 

 Centre for Applied Climate Sciences, University of Southern Queensland, Toowoomba, QLD 4350, Australia 
 Water, Environment and Development Unit, SPHERES Research Unit, Department of Environmental Sciences and Management, University of Liège, 6700 Arlon, Belgium; [email protected] 
 Plant Protection Laboratory, Regional Center of Agricultural Research of Meknes, National Institute of Agricultural Research, Km 13, Route Haj Kaddour, BP 578, Meknes 50001, Morocco; [email protected] 
 Phytopathology Unit, Department of Plant Protection, Ecole Nationale d’Agriculture de Meknes, Meknes 50001, Morocco; [email protected] (S.-E.L.); [email protected] (R.L.) 
 Horticultural Sciences Department, University of Florida, Gainesville, FL 32611-0690, USA; [email protected] 
 Department of Agricultural Economics, Ecole Nationale d’Agriculture de Meknes, BP S/40, Meknes 50001, Morocco; [email protected] (I.D.I.A.); [email protected] (N.M.) 
 Nematology Laboratory, Biotechnology Unit, National Institute of Agricultural Research, CRRA-Rabat, Rabat 10101, Morocco; [email protected] 
 Environmental Research and Innovation, Luxembourg Institute of Science and Technology, 4422 Belvaux, Luxembourg; [email protected] 
 Phytopathology Unit, Department of Plant Protection, Ecole Nationale d’Agriculture de Meknes, Meknes 50001, Morocco; [email protected] (S.-E.L.); [email protected] (R.L.); Plant Pathology Laboratory, AgroBiosciences, College of Sustainable Agriculture and Environmental Sciences, Mohammed VI Polytechnic University, Lot 660, Hay Moulay Rachid, Ben Guerir 43150, Morocco 
First page
4273
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
20724292
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2862725515
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.