Unmanned Aerial Vehicle for Precision Agriculture: A Review

被引:0
|
作者
Toscano, Francesco [1 ]
Fiorentino, Costanza [1 ]
Capece, Nicola [2 ]
Erra, Ugo [2 ]
Travascia, Danilo [1 ]
Scopa, Antonio [1 ]
Drosos, Marios [1 ]
D'antonio, Paola [1 ]
机构
[1] Univ Basilicata, Sch Agr Forest Food & Environm Sci, I-85100 Potenza, Italy
[2] Univ Basilicata, Dept Math Comp Sci & Econ, I-85100 Potenza, Italy
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Drones; Autonomous aerial vehicles; Crops; Reviews; Payloads; Market research; Hardware; Imaging techniques; remote sensing; smart farming; SOIL-SALINITY ASSESSMENT; VEGETATION INDEXES; CHLOROPHYLL CONTENT; CROP; SENSORS; UAVS; CLASSIFICATION; MANAGEMENT; ATTITUDE; SYSTEMS;
D O I
10.1109/ACCESS.2024.3401018
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Digital Precision Agriculture (DPA) is a comprehensive approach to agronomic management that utilizes advanced technologies, such as sensor data analysis and automation, to optimize crop productivity, enhance farm income, and minimize environmental impacts. DPA encompasses various agricultural domains, including pest control, pest management, fertilization, irrigation management, sowing, transplanting, crop health monitoring, yield forecasting, harvesting, and post-harvest stages. Among the enabling technologies for DPA, Unmanned Aerial Vehicles (UAVs) have gained significant attention and market growth. The advancements in control systems, robotics, electronics, and artificial intelligence have led to the development of sophisticated agricultural drones. UAVs offer advantages such as versatility, quick and accurate remote sensing capabilities, and high-quality imaging at affordable prices. Furthermore, the miniaturization of sensors and advancements in nanotechnology enable UAVs to perform multiple operations simultaneously without compromising flight autonomy. However, various variables, including aircraft mass, payload capacity, size, battery characteristics, flight autonomy, cost, and environmental conditions, impact the performance and applicability of UAV systems in agriculture. The economic considerations involve the purchase of drones, equipment, and the expertise of trained pilots for flight management and data processing. Payload capacity, flight range, and financial factors influence agriculture's choice and implementation of UAVs. The research and patent trends show the growing interest in UAVs for agricultural applications. This paper provides a general review of UAV types, construction architectures, and their diverse applications in agriculture until 2022.
引用
收藏
页码:69188 / 69205
页数:18
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