北斗和遥感融合的智慧无人农场关键技术研究

Key Technologies for Smart Unmanned Farms by Fusion of BeiDou Satellite Navigation System and Remote Sensing

  • 摘要: 中国北斗全球卫星导航系统全面建成后,农业领域正式迈入“北斗+”创新纪元。针对中国农业发展的绿色低碳、节本增效、自动智能等方面发展趋势和重大需求,提出了以北斗和遥感融合为基础研发建立北斗智慧无人农场的创新思路,从融合、精准、自动和智能4个方面界定了其概念内涵、技术特征及其系统技术结构,论述了北斗智慧无人农场实现的天-空-地立体数据采集、农情感知与精准监测、智能决策与精准管理、农机全流程无人作业等4个方面关键技术,提出了智能演进为特征的系统集成方法。结合山东省邹平市北斗智慧无人农场1.0示范系统的建设及应用实践,表明北斗智慧无人农场发展在节本、提质、增产、增效等方面对中国未来粮食安全保障与农业可持续发展具有重要意义。

     

    Abstract:
    Objectives With the full completion of BeiDou satellite navigation system (BDS), the agriculture in China has entered a new era of innovation. This paper aims to explore the development pathways of smart unmanned farm, and addresses the major demands of agricultural development in China, including green and low-carbon, cost-saving and benefit-increasing, automatic and intelligent.
    Methods This paper proposes an innovative framework for constructing BeiDou smart unmanned farms by fusion of BDS and remote sensing technologies. The concept, technical features, and system structure are defined from four dimensions, including integration, precision, automation, and intelligence. Furthermore, four key technologies are discussed, including multi-dimensional data acquisition across space, air, and ground, accurate sensing and monitoring of crop condition, intelligent decision-making and precise management, and fully unmanned agricultural machinery operations. The system integration method characterized by intelligent evolution is also introduced.
    Results The framework was implemented in the demonstration project of BeiDou smart unmanned farm 1.0 in Zouping City, Shandong Province. Field experiments confirmed the feasibility of the integrated system in achieving real-time monitoring, prescription generation, and unmanned mechanized operations. The integrated system demonstrated the improvements in production efficiency by reducing labor input, lowering production costs, and enhancing the precision of input management. It also enabled a closed-loop management from data acquisition to analysis, decision and execution, laying the groundwork for scalable applications.
    Conclusions The development of BeiDou smart unmanned farms offers the transformative potential for Chinese agriculture by ensuring food security and supporting sustainable development. By integrating BDS and remote sensing technologies into a unified intelligent farming framework, the proposed system enhances cost-effectiveness, yield stability, resource efficiency, and ecological sustainability. The demonstration in Zouping City highlights the broader applicability of the proposed system, and provides a replicable and scalable model for the next generation of smart agriculture systems in China.

     

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