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农业低空经济应用场景及产业发展的现状与趋势

何勇, 戴馥霜, 朱姜蓬, 何立文, 王月影()   

  1. 浙江大学 生物系统工程与食品科学学院,浙江 杭州 310058,中国
  • 收稿日期:2025-07-09 出版日期:2025-08-26
  • 基金项目:
    山东省重点研发计划(2023CXGC010701); 农业农村部科技项目资助; 国家自然科学基金(32071895)
  • 作者简介:

    何 勇,博士,教授,研究方向为智慧农业、农业航空。E-mail:

  • 通信作者:
    王月影,硕士研究生,研究方向为农用无人机、农业低空经济。E-mail:

Current Status and Trends of Application Scenarios and Industrial Development in the Agricultural Low-Altitude Economy

HE Yong, DAI Fushuang, ZHU Jiangpeng, HE Liwen, WANG Yueying()   

  1. School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
  • Received:2025-07-09 Online:2025-08-26
  • Foundation items:Key R&D Program of Shandong Province(2023CXGC010701); The Science and Technology Project of the MARA; National Natural Science Foundation of China(32071895)
  • About author:

    HE Yong, E-mail:

  • Corresponding author:
    WANG Yueying, E-mail:

摘要:

[目的/意义] 农业低空经济是在低空空域管理机制不断完善与智能技术持续突破的背景下快速发展的新兴领域,正逐步融入农业农村现代化的各个环节。本文系统梳理其发展路径与实践模式,对于推动技术集成与政策设计、加快其在农业各领域的推广应用具有重要意义。 [进展] 本文基于文献调研和关键词聚类分析方法,系统梳理了农业低空经济在智慧农场、智慧牧场、智慧林业、智慧渔业与智慧乡村5大典型应用场景中的技术路径与实践模式,重点展现了低空经济技术与平台在播种施肥、病虫监测、牲畜巡检、林火预警、环境感知和乡村治理等方面的应用成效与赋能潜力。同时,总结了当前农业低空经济初步形成的以装备制造、飞行作业、配套保障与综合服务为主体的人才与产业体系,涵盖了无人机等装备研发、多类型作业服务、空域调度机制、运维监控系统以及飞手培训与运营管理等关键支撑要素。 [结论/展望] 农业低空经济正处于由单一技术驱动向系统融合、由分散应用向平台化演进的关键阶段。未来应强化政策引导与制度设计,推进核心技术攻关与机制创新,完善基础设施与服务网络,加快构建高效、安全、绿色的农业低空经济体系,服务农业高质量发展与乡村振兴战略的全面实施。

关键词: 农业低空经济, 智慧农业, 无人机, 应用场景, 产业发展

Abstract:

[Significance] The agricultural low-altitude economy (ALE) has rapidly emerged as a transformative force in rural modernization, catalyzed by advancements in intelligent technologies and gradual improvements in low-altitude airspace governance. It encompasses a wide array of applications where aerial platforms—particularly unmanned aerial vehicles (UAVs)—play a pivotal role in reshaping agricultural production, environmental monitoring, and rural management systems. Systematically analyzing the development trajectory and implementation pathways of ALE holds considerable significance for promoting cross-sector integration, accelerating policy and technological innovation, and enabling the widespread adoption of intelligent solutions across agriculture-related industries. [Progress] This review draws upon an extensive body of literature and applies keyword clustering analysis to systematically explore the development of the agricultural ALE. Based on 13 570 peer-reviewed articles retrieved from the Web of Science database between 2000 and 2024, the study reveals a rapid growth trajectory—particularly since 2011—driven by technological breakthroughs in UAVs, sensors, and intelligent analytics. Five representative application domains were identified: smart farming, animal husbandry, forestry, fisheries, and rural governance. Through the integration of bibliometric tools and structured keyword combinations, the study captures both the evolution of research focus and the expansion of technical capabilities. The results demonstrate that ALE has progressed from early-stage feasibility validation toward large-scale, multi-functional applications. At the same time, it has catalyzed the development of an emerging industrial framework encompassing equipment manufacturing, aerial service provision, operational support systems, and talent development. These trends highlight the growing maturity and strategic relevance of ALE as a technological enabler for modern agriculture. In the context of smart farming, low-altitude technologies are extensively utilized for precision sowing, variable-rate fertilization, real-time crop health monitoring, and pest and disease detection. UAV-based remote sensing facilitates the creation of high-resolution field maps and spatially explicit data layers that support data-driven and site-specific decision-making in modern agricultural management. In smart livestock systems, drones are employed for livestock monitoring, early disease detection, and fence-line inspections, particularly in large, remote pasture areas with limited ground accessibility. Smart forestry applications include forest fire early warning, forest inventory updates, and dynamic monitoring of ecological changes, enabled by low-altitude hyperspectral, LiDAR, and thermal imaging technologies. For smart fisheries, UAVs and amphibious drones support water quality sensing, pond surveillance, and feeding behavior analysis, thereby enhancing aquaculture productivity, animal welfare, and environmental sustainability. In the broader context of smart rural governance, ALE technologies assist with infrastructure inspections, land use monitoring, rural logistics coordination, and even public security surveillance, contributing to comprehensive, intelligent rural revitalization. Alongside scenario-based applications, this study also summarizes the current structure of the ALE industry chain, which is preliminarily composed of four key components: manufacturing, flight operations, supporting services, and integrated service platforms. In the manufacturing segment, the development and production of specialized agricultural UAVs, multi-rotor drones, and fixed-wing VTOL aircraft are advancing rapidly, enabling adaptation to various terrains and crop types. The flight operations segment is expanding with increasing market participation, offering aerial spraying, broadcasting, surveying, and inspection services with improved timeliness and precision. Supporting services include airspace coordination, meteorological forecasting, equipment maintenance, and safety supervision. Additionally, comprehensive service systems have emerged, integrating digital platform management, third-party evaluation, data analysis, and agricultural technical advisory services. Talent development and training form a crucial pillar of ALE's development. A growing number of vocational institutions and drone enterprises are providing structured training programs for agricultural drone pilots, technicians, and system operators. These programs aim to enhance operational capabilities, ensure safety compliance, and foster human capital that can support the sustainable growth of ALE applications across rural regions. [Conclusions and Prospects] ALE is transitioning from isolated, technology-specific applications to an integrated, platform-oriented ecosystem that blends equipment, data, services, and governance. To fully realize its potential, several strategic directions should be pursued. First, there is a pressing need to refine regulatory frameworks to accommodate the unique operational characteristics of rural low-altitude airspace, including dynamic zoning policies, UAV registration standards, and risk management protocols. Second, sustained investment in core technologies—such as autonomous flight control, multi-modal sensing, and AI-based analytics—is essential for overcoming current technical limitations and unlocking new capabilities. Third, ALE's infrastructure backbone must be reinforced through the deployment of distributed drone ports, mobile ground control stations, and secure data networks, particularly in underserved regions. Additionally, establishing a national-scale training and certification framework is critical for ensuring an adequate supply of skilled professionals, while innovative funding models such as public-private partnerships and scenario-based insurance can enhance accessibility and scalability. Pilot projects and demonstration zones should also be expanded to validate and refine ALE systems under diverse agroecological and socio-economic conditions. In summary, ALE offers strategic leverage for advancing China's goals in smart agriculture, green development, and rural revitalization. With cross-sector collaboration and proactive policy support, ALE can evolve into a resilient and inclusive ecosystem that fosters agricultural transformation, boosts productivity, and enhances environmental sustainability.

Key words: agricultural low-altitude economy, smart agriculture, unmanned aerial vehicles, application scenarios, industrial development

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