Abstract:

As an important support for promoting rural revitalization strategy in China, smart agriculture organically links digital agriculture and precision agriculture into a whole, and deeply integrates modern communication technology and intelligent equipment. It is the development trend of modern agriculture. Intelligent equipment represented by unmanned aerial vehicles (UAVs) is an important carrier and content of smart agricultural production applications. This paper systematically elucidates the basic overview and platform composition of UAV technology, summarizes the integration status and application advantages of UAV technology in smart agriculture scenarios such as crop irrigation spraying, crop phenotype monitoring, drone pollination aerial mapping and three-dimensional modeling, and it also presents an outlook into the further development and applications of drone technology in smart agriculture, including enhancing endurance, autonomous obstacle avoidance and system intelligence, building a remote sensing multi-source database based on provincial-municipal-county administrative divisions, optimizing path planning algorithms for multi-UAV collaborative operations, and establishing a sound industry regulatory framework and operating standards. In view of the current problems of insufficient UAV performance, unstable processing of large amounts of operation data, and imperfect technical standards, this paper proposes suggestions such as accelerating the enhancement of UAV comprehensive performance, promoting multi-source information fusion and system standardization construction, etc., so as to provide a theoretical basis for the precise application of UAVs in smart agriculture and promote the further development of drone technology in smart agriculture.

Key words: drone technology, smart agriculture, remote sensing technology, precision agriculture, sustainable development

摘要：

智慧农业作为我国乡村振兴战略的重要支撑，将数字农业与精准农业有机联系为一个整体，深度融合现代通信技术和智能装备，是现代农业的发展趋势。以无人机为代表的智能装备是智慧农业生产应用的重要载体和内容。系统地阐述无人机技术的基本概况及平台构成，总结无人机技术在作物灌溉喷洒、表型监测、无人机授粉、航测绘图及三维建模等智慧农业场景中的融合现状和应用优势，并对无人机技术的发展应用进行展望，包括增强续航能力、自主避障与系统智能化水平，构建基于省—市—县行政区划的遥感多源数据库，优化多无人机协同作业的路径规划算法，以及建立健全的行业监管框架与作业标准。针对当前存在无人机性能不足、大量作业数据处理不稳定、技术标准不完善等问题，提出加快无人机综合性能增强、推动多源信息融合与系统规范建设等建议，以期为无人机在智慧农业中的精准应用提供理论依据，推动无人机技术在智慧农业中的进一步发展。

关键词:

无人机技术, 智慧农业, 遥感技术, 精准农业, 可持续发展