基于声信号处理的蜂群探测方法

Aleksandra Zlatkova, Z. Kokolanski, Dimitar Tashkovski
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引用次数: 7

摘要

蜂群对养蜂人来说是最大的问题之一。这是一种老蜂后和工蜂一起离开蜂巢的状态。这项工作的目的是找到声音和群体之间的关系。这些数据是在春末夏初用放置在蜂巢内的麦克风收集的。使用Welch方法,在Python中实现,证明了幂和蜂群之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Honeybees swarming detection approach by sound signal processing
Swarming of honeybees is one of the biggest problems for the hobbyist-beekeepers. This is a state when old queen bee leaves the hive with worker bees. The aim of this work is to find relation between sound and swarming. The data was collected during the late spring and early summer using microphone that was placed inside the hive. Using the Welch method, implemented in Python, it was proven the relation between the power and swarming.
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