Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/121144
Title: A bibliometric analysis of drones-mediated precision farming
Authors: Chandel, Ajay
Verma, Rajesh
Sood, Kiran
Grima, Simon
Keywords: Sustainable engineering
Sustainable development
Alternative agriculture
Agricultural innovations
Artificial intelligence -- Agricultural applications
Drone aircraft -- Industrial applications
Issue Date: 2023
Publisher: Inderscience Enterprises Ltd.
Citation: Chandel, A., Verma, R., Sood, K., & Grima, S. (in press). A bibliometric analysis of drones-mediated precision farming. International Journal of Sustainable Agricultural Management and Informatics.
Abstract: The global agricultural drone market is expected to grow at a CAGR of 35.9% to $5.7 billion by 2025. Along with other orchestrated efforts, farming practices like drone-mediated farming can significantly impact agricultural output, contributing toward achieving the zero hunger sustainable development goal. They improve farmers productivity, save time and resources, and offer precision agriculture through IoT, AI, sensors, surveillance, spraying capabilities, lower prices, and government support. This research aims to provide a comprehensive and retrospective approach to understanding the vast body of knowledge on drone-mediated agriculture. A bibliometric investigation using VOSviewer and Biblioshiny was conducted to analyse domain development, hot topics, and research trends and to identify future research agendas through thematic mapping and content analysis.
URI: https://www.um.edu.mt/library/oar/handle/123456789/121144
Appears in Collections:Scholarly Works - FacEMAIns

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