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如何对区域内植物健康状况进行有效判断,是当前一个重要的具有挑战性的问题。针对这个问题,本文以植物病害胁迫声发射原理为理论依据,以无线传感器网络为基础,采集室外大范围植物的声发射信号,利用植物的声发射信号的特点,通过移动平均滤波器、归一化和相似度处理,将植物健康状态分为健康、染病初期、中期和后期四类。仿真结果表明,本文提出的方法能有效地对区域内植物健康状况进行准确、快速和可靠地判断。
How to effectively judge the state of plant health in the region is now an important and challenging issue. In order to solve this problem, this paper takes the acoustic emission principle of plant disease stress as the theoretical basis to collect the acoustic emission signals of a wide range of outdoor plants based on the wireless sensor network. Taking advantage of the characteristics of the plant’s acoustic emission signals, through the moving average filter, And the similarity treatment, the plant health status is divided into health, early disease, mid-term and late four categories. The simulation results show that the proposed method can effectively and accurately judge the state of plant health in the area.