EconPapers    
Economics at your fingertips  
 

Crop monitoring in smallholder farms using unmanned aerial vehicles to facilitate precision agriculture practices: a scoping review and bibliometric analysis

S. Gokool, M. Mahomed, R. Kunz, A. Clulow, M. Sibanda, V. Naiken, K. Chetty and Tafadzwanashe Mabhaudhi
Additional contact information
Tafadzwanashe Mabhaudhi: International Water Management Institute

Papers published in Journals (Open Access), 2023, 15(4):3557. (Special issue: Advanced Technologies, Techniques and Process for the Sustainable Precision Agriculture)

Abstract: In this study, we conducted a scoping review and bibliometric analysis to evaluate the state-of-the-art regarding actual applications of unmanned aerial vehicle (UAV) technologies to guide precision agriculture (PA) practices within smallholder farms. UAVs have emerged as one of the most promising tools to monitor crops and guide PA practices to improve agricultural productivity and promote the sustainable and optimal use of critical resources. However, there is a need to understand how and for what purposes these technologies are being applied within smallholder farms. Using Biblioshiny and VOSviewer, 23 peer-reviewed articles from Scopus and Web of Science were analyzed to acquire a greater perspective on this emerging topical research focus area. The results of these investigations revealed that UAVs have largely been used for monitoring crop growth and development, guiding fertilizer management, and crop mapping but also have the potential to facilitate other PA practices. Several factors may moderate the potential of these technologies. However, due to continuous technological advancements and reductions in ownership and operational costs, there remains much cause for optimism regarding future applications of UAVs and associated technologies to inform policy, planning, and operational decision-making.

Keywords: Precision agriculture; Crop monitoring; Smallholders; Farming systems; Unmanned aerial vehicles; Bibliometric analysis; Food security; Machine learning; Remote sensing; Technology (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/4/3557/pdf?version=1676858967

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:iwt:jounls:h051762

DOI: 10.3390/su15043557

Access Statistics for this article

More articles in Papers published in Journals (Open Access) from International Water Management Institute Contact information at EDIRC.
Bibliographic data for series maintained by Chandima Gunadasa ().

 
Page updated 2025-03-19
Handle: RePEc:iwt:jounls:h051762