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