Drones in agriculture: A review and bibliometric analysis

Беспилотники в сельском хозяйстве: обзор и библиометрический анализ
Abderahman Rejeb, Karim Rejeb, Horst Treiblmaier, Alireza Abdollahi
2022-05-18

Unmanned Aerial Vehicles (UAV)deep learningdronesprecision agricultureremote sensing
Drones, also called Unmanned Aerial Vehicles (UAV), have witnessed a remarkable development in recent decades. In agriculture, they have changed farming practices by offering farmers substantial cost savings, increased operational efficiency, and better profitability. Over the past decades, the topic of agricultural drones has attracted remarkable academic attention. We therefore conduct a comprehensive review based on bibliometrics to summarize and structure existing academic literature and reveal current research trends and hotspots. We apply bibliometric techniques and analyze the literature surrounding agricultural drones to summarize and assess previous research. Our analysis indicates that remote sensing, precision agriculture, deep learning, machine learning, and the Internet of Things are critical topics related to agricultural drones. The co-citation analysis reveals six broad research clusters in the literature. This study is one of the first attempts to summarize drone research in agriculture and suggest future research directions.
1
Academic interest in agricultural drones has grown remarkably over past decades, motivating a comprehensive bibliometric review.
2
Bibliometric analysis identifies remote sensing, precision agriculture, deep learning, machine learning, and the Internet of Things as critical topics related to agricultural drones.
3
Co-citation analysis reveals six broad research clusters within the agricultural drone literature.
4
Drones (UAVs) have driven substantial cost savings, increased operational efficiency, and improved profitability in agriculture.
5
This study is among the first to synthesize agricultural drone research via bibliometrics and to propose future research directions.

Drones (Unmanned Aerial Vehicles) used in agricultural applications

Bibliometric review and analysis of research trends, hotspots, and thematic clusters related to the use of drones in agriculture (including topics such as remote sensing, precision agriculture, deep learning, machine learning, and IoT)

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2022-05-18
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Authors
Abderahman Rejeb
Karim Rejeb
Horst Treiblmaier
Alireza Abdollahi
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