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DOI: 10.3791/52111-v
Yanping Chen1, Adena Why2, Gustavo Batista3, Agenor Mafra-Neto4, Eamonn Keogh1
1Department of Computer Science and Engineering,University of California, Riverside, 2Department of Entomology,University of California, Riverside, 3Institute of Mathematics and Computer Sciences,University of São Paulo - USP, 4ISCA Technologies
Please note that some of the translations on this page are AI generated. Click here for the English version.
我们提出了使用廉价的,非侵入性的伪声光感应器可以自动,准确地检测,计数和分类飞基于他们的飞行昆虫的声音系统。
该程序的总体目标是根据飞虫的翅膀拍打声来检测和识别飞虫。这是通过首先使用伪声学传感器在实验室中连续记录声音来实现的。第二步是从原始录音中自动检测昆虫的飞行声音。
最后一步是对检测到的飞行声音进行自动分类,以识别昆虫的种类和性别。最终,数字和表格用于显示分类准确性。这项技术的主要优点是简单、便宜,并且可以像当前方法(如粘性跳闸和代祷跳闸)一样无处不在,但具有更高的准确性和实时监控等数字优势。
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