Advances in Developments and Trends of UAV Technology in the Context of Precision Agriculture

Agriculture, as a core pathway for advancing modern agricultural development, emphasizes data-driven perception and intelligent decision-making. Unmanned aerial vehicles (UAVs), with advantages such as high-resolution imaging, flexible deployment, and adaptability to diverse terrains, have become an essential tool in this domain. This Editorial synthesizes the key findings from nine representative studies featured in this Special Issue, focusing on recent advancements in UAV-based remote sensing, flight control, and precision spraying. The results indicate that the integration of multispectral imagery with deep learning models significantly enhances crop identification and parameter inversion accuracy. Flight control performance has been greatly improved through innovations such as free-tail configuration optimization and fuzzy sliding mode composite control, ensuring stable operations in complex environments. In the realm of precision spraying, progress in wind vortex regulation and airflow modeling has led to improved droplet deposition consistency and target accuracy. Overall, UAV technologies demonstrate strong potential for cross-disciplinary integration and scalable application, offering robust support for the intelligent transformation of agricultural production.

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Publication Details

Journal
Agriculture
Published
2025-05-27
DOI
https://doi.org/10.3390/agriculture15111146
Citations
1
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.75

Funders

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article

Advances in Developments and Trends of UAV Technology in the Context of Precision Agriculture

Jiyu Li, Mingxia Li
1 citations
Agriculture
Smart Agriculture and AI
1.75
article

Advances in Developments and Trends of UAV Technology in the Context of Precision Agriculture

Jiyu Li, Mingxia Li
article en
1 citations

Abstract

Agriculture, as a core pathway for advancing modern agricultural development, emphasizes data-driven perception and intelligent decision-making. Unmanned aerial vehicles (UAVs), with advantages such as high-resolution imaging, flexible deployment, and adaptability to diverse terrains, have become an essential tool in this domain. This Editorial synthesizes the key findings from nine representative studies featured in this Special Issue, focusing on recent advancements in UAV-based remote sensing, flight control, and precision spraying. The results indicate that the integration of multispectral imagery with deep learning models significantly enhances crop identification and parameter inversion accuracy. Flight control performance has been greatly improved through innovations such as free-tail configuration optimization and fuzzy sliding mode composite control, ensuring stable operations in complex environments. In the realm of precision spraying, progress in wind vortex regulation and airflow modeling has led to improved droplet deposition consistency and target accuracy. Overall, UAV technologies demonstrate strong potential for cross-disciplinary integration and scalable application, offering robust support for the intelligent transformation of agricultural production.

AgricultureVol. 15(11)
South China Agricultural University (CN)
Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 15%
Smart Agriculture and AI
1.75
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