您好，欢迎访问云南省农业科学院 机构知识库！

A citizen science platform to sample beehive sounds for monitoring ANSP

文献类型： 外文期刊

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

作者机构： 1.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, 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： Beehive sound; Citizen science; Agricultural nonpoint source pollution; Machine learning

期刊名称：JOURNAL OF ENVIRONMENTAL MANAGEMENT （ 影响因子：8.4； 五年影响因子：8.6 ）

ISSN： 0301-4797

年卷期： 2025 年 375 卷

页码：

收录情况： SCI

摘要： Honey bees usually produce particular sound when they are exposed to air pollution. Based on this principle, we create a citizen science platform to monitor Agricultural Nonpoint Source Pollution (ANSP) based on beehive sounds. Here we show the basic functions of the platform, and illustrate its workflow: sampling and uploading data by beekeepers, automated detection of target compounds from beehive sound recordings, and the outcome of which can be analysed with respect to the motivating management objective. With such a comprehensive platform for moving from raw data collection to analysis, ANSP monitoring programs will be greatly improved in to systematically characterize ecological processes and inform management decisions. Future endeavors will concentrate on fostering collaboration between public participants and scientists to facilitate automated detection of target compounds.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：云南省农业科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台