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分别对赤拟谷盗(Tribolium castaneumHerbst)成虫、米象(Sitophilus oryzaeLinnaeus)成虫以及两者复合后在粮罐内小麦中的爬行声进行了采集,进行了爬行声信号的再现和功率谱估计。利用爬行声信号的频域特征进行了害虫种类的鉴别研究。研究表明,害虫声频域特征比时域信号对鉴别害虫种类更具有可靠性。图4,参7。
The crawling sound of Tribolium castaneum Herbst adults, Sitophilus oryzae Linnaeus adults and their combination in the grain tank were collected respectively for the reproduction of crawling acoustic signals and power spectrum estimation. The classification of pests was studied by using the frequency domain characteristics of the crawling sound signal. Studies have shown that the audio frequency domain characteristics of pests are more reliable than the time domain signals to identify the types of pests. Figure 4, reference 7.