F., Sampaio and Bártfai, Zoltán (2024) Trends and patterns in the research development of agricultural drones, a bibliometric analysis from 2000 to 2023. HUNGARIAN AGRICULTURAL ENGINEERING (43). pp. 74-84. ISSN 0864-7410
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Abstract
The incorporation of robotics in agriculture embodies a major advancement in information and communication technologies, which addresses critical challenges such as promoting sustainability, Labor shortages, and increasing efficiency. This bibliometric analysis explores the trends and patterns in the research development of agricultural drones from 2000 to 2023, against the backdrop of their increasing integration into modern agricultural practices. Agricultural drones, also known as unmanned aerial vehicles (UAVs), have emerged as transformative tools in precision farming, offering capabilities such as crop monitoring, pest management, and soil analysis with unprecedented efficiency and accuracy. This study employs the R-bibliometrics package, Vos Viewer, and Excel for comprehensive analysis, leveraging these tools to examine publication trends, citation impacts, author collaborations, and keyword co-occurrences across a diverse range of journals and disciplines. Findings reveal a steady growth in research output, punctuated by significant peaks in interest, particularly following advancements in artificial intelligence applications within the field. This analysis not only highlights the pivotal role of agricultural drones in shaping modern agriculture but also identifies critical areas for future research and innovation, including AI integration, environmental sustainability, and the optimization of drone technologies for enhanced agricultural productivity and sustainability.
Item Type: | Article |
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Uncontrolled Keywords: | Agricultural drones, Precision Agriculture, UAVs, Artificial Intelligence, remote sensing |
Subjects: | S Agriculture / mezőgazdaság > S1 Agriculture (General) / mezőgazdaság általában |
SWORD Depositor: | MTMT SWORD |
Depositing User: | MTMT SWORD |
Date Deposited: | 04 Dec 2024 20:08 |
Last Modified: | 04 Dec 2024 20:08 |
URI: | https://real.mtak.hu/id/eprint/210833 |
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