Wang Guobin, E-mail: guobinwang@sdut.edu.cn
As the low-altitude economy joins the ranks of national strategic emerging industries, the integration of low-altitude agricultural technology and equipment into agricultural production continues to deepen, serving as a cornerstone for promoting agricultural modernization and intelligent agriculture. This paper systematically evaluates the development status and future trends of low-altitude agricultural technology and equipment in China, focusing on policy frameworks, key technologies, and typical application scenarios. First, from the perspective of aerial platforms and intelligent control, the paper summarizes the current development of multi-rotor, single-rotor, and hybrid unmanned aerial vehicles (UAVs), and traces the evolution of key technologies in power systems, flight control algorithms, and navigation positioning. Concurrently, the progress of intelligent control technologies is outlined with an emphasis on low-altitude communication, cloud-based management, and multi-UAV coordination. Second, regarding low-altitude sensing and precision operations, the paper highlights the applications of UAV-based remote sensing in crop monitoring, alongside the technological pathways of precision spraying and broadcast sowing, identifying variable-rate operations and intelligent control as pivotal research frontiers. Finally, by examinging the inspection and evaluation systems and standardization frameworks of low-altitude agricultural equipment, the paper identifies existing challenges in operational specifications, quality evaluation, and systematic standards. The analysis reveals that although low-altitude agricultural technology offers significant advantages in operational efficiency and resource utilization, it remains constrained by insufficient equipment adaptability, limited operational stability in complex environments, inadequate multi-source information fusion and weak intelligent decision-making capabilities, and incomplete standard systems. Future research should prioritize multi-source sensing fusion, intelligent control, and data-driven decision-making technologies, while improving standard and evaluation systems, to promote the development of low-altitude agricultural technology toward precision, intelligence, and large-scale applications. This study provides a reference for research, equipment development, and policymaking in the field of low-altitude agriculture.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |