基于农机轨迹的农机作业面积算法研究进展

    Research progress in agricultural machinery operation area algorithms based on agricultural machinery trajectories

    • 摘要: 农机作业面积的精准计量是农业补贴核算与智慧决策的数据基础。针对实际生产中因轨迹噪声、地块细碎及重复作业导致的面积计量精度与效率瓶颈,本文系统综述了基于农机轨迹的面积计算技术。在算法层面,剖析了里程幅宽法、缓冲栅格法与多边形轮廓法的原理、技术特点及适用边界;在应用层面,归纳了农机装备、无人机平台及农机导航定位企业的工程实现特征。分析表明,现有算法在精度、效率与适应性间尚难协同,缺乏统一评价标准。据此,从多源传感器融合、算法轻量化与边缘计算、智能数据分析三维度展望未来方向,以期为农机作业面积精准计量技术研究与应用提供参考。

       

      Abstract: The precise measurement of agricultural machinery operation area provides the critical data foundation for agricultural subsidy accounting and intelligent decision-making. Addressing the bottlenecks in measurement accuracy and efficiency caused by trajectory noise, fragmented plots, and repetitive operations in practical production, this paper systematically reviewed area calculation technologies based on agricultural machinery trajectories. At the algorithmic level, the principles, technical characteristics, and applicable boundaries of the mileage-width method, buffer-grid method, and polygon-contour method were analyzed. At the application level, the engineering implementation characteristics of agricultural machinery equipment, UAV platforms, and navigation and positioning enterprises were summarized. Analysis indicated that existing algorithms still struggled to balance accuracy, efficiency, and adaptability, and a unified evaluation standard was currently lacking. Accordingly, future directions were proposed from three dimensions: Multi-source sensor fusion, algorithm lightweighting and edge computing, and intelligent data analysis. This study aimed to provide a reference for the research and application of precise measurement technologies for agricultural machinery operation areas.

       

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