文献类型： 外文期刊

作者： Yu, Baizhong ¹ ; Huang, Xinqiu ³ ; Sharif, Muhammad Zahid ¹ ; Jiang, Xueli ¹ ; Di, Nayan ¹ ; Liu, Fanglin ¹ ;

作者机构： 1.Chinese Acad Sci, Hefei Inst Phys Sci, Anhui Inst Opt & Fine Mech, Hefei 230031, Peoples R China

2.Univ Sci & Technol China, Hefei 230027, Peoples R China

3.Yunnan Acad Agr Sci, Sericulture & Apiculture Res Inst, Mengzi 661100, Peoples R China

关键词： Honey bees; Apis cerana; Beehive sound; Environmental contaminants; Machine Learning

期刊名称：ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH （ 影响因子：5.19； 五年影响因子：5.053 ）

ISSN： 0944-1344

年卷期：

页码：

收录情况： SCI

摘要： Honey bees (Apis spp.) are often used as biological indicators of environmental changes. Recently, bees have been explored to monitor air contaminants by listening to the beehive sound. The beehive sound is believed to encode information on bee responses to chemicals outside their hives. Here we conducted an experiment to address this. First, we randomly fed colonies with pure syrup (PS), acetone-laced syrup (AS), or ethyl acetate-laced syrup (ES) in front of the beehives and collect the beehive sound. Based on the audio data, we build machine learning (ML) models to identify the types of syrup. The result shows that ML models achieved over 90% accuracy for identifying syrup types, indicating that the bees inside their hives emitted the sound associated with the chemicals outside their hives. Then, we sequentially fed the colonies in the order of PS, ES, and AS (the first session) and again in the reverse order (the second session), but did not remove the accumulated ES or AS in the alternative feeding experiment. Based on the audio data, the identification accuracy of both ES and AS by the ML model built on the randomly feeding experiment was different, indicating that the accumulated chemical residuals could confuse the ML models. Therefore, the beehive sound-based environmental monitoring should simultaneously consider the responses of bees to the chemicals outside their hives and their responses to those accumulated inside their hives, which may act simultaneously.