Decoding spray drift from unmanned aerial spraying systems: From prediction to decision with threshold insights and mitigation strategies

Computers and Electronics in Agriculture一手来源 · 原始研究11月1日 · 周日阅读 0

核心看点

核心期刊论文，聚焦无人机喷雾飘移预测与阈值决策，方法有新意但属细分技术研究，公共影响有限。

关注点

论文将飘移预测与阈值决策、减缓策略串联，可为无人机植保作业参数与缓冲区设置提供参考，但适用性依赖具体机型与田间条件。

发布主体的原始资料；自述数据与结论仍以原文限定为准。

论文信息

Xiangshuai Li / Fangkui Zhao / Shiyu Li 等 10 人

Computers and Electronics in Agriculture

DOI: 10.1016/j.compag.2026.112541

论文摘要

Decoding spray drift from unmanned aerial spraying systems: From prediction to decision with threshold insights and mitigation strategies。Computers and Electronics in Agriculture

论文原文与出版信息

Computers and Electronics in Agriculture

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智慧农业精准施药无人机植保喷雾飘移

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