Real-time bioacoustics monitoring and automated species identification.
Real-time bioacoustics monitoring and automated species identification.
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作者：
Aide TM;Corrada-Bravo C;Campos-Cerqueira M;Milan C;Vega G;Alvarez R
传统上，动物物种多样性和丰度的评估使用各种方法，这些方法通常成本高昂，空间和时间有限，最重要的是，它们很少包括永久记录。鉴于气候变化和栖息地丧失的紧迫性，我们必须利用新技术改善和扩大全球生物多样性监测，将其扩大到世界各地数千个地点。在这篇文章中，我们描述了自动远程生物多样性监测网络（ARBIMON）的声学组件，这是一个基于音频记录的自动化数据采集、数据管理和物种识别的硬件和软件的新组合。网络基础设施的主要组成部分包括：一个太阳能远程监控站，每10分钟向基站发送1分钟的录音，基站将录音实时转发到项目服务器，在项目服务器上处理并上传到项目网站（）。除了一个用于查看、收听和注释录音的模块外，该网站还包括一个物种识别界面，帮助用户创建机器学习算法来自动识别物种。为了证明这个系统，我们展示了来自波多黎各和哥斯达黎加的鸟类、青蛙、昆虫和哺乳动物的声音活动模式的数据。
Traditionally, animal species diversity and abundance is assessed using a variety of methods that are generally costly, limited in space and time, and most importantly, they rarely include a permanent record. Given the urgency of climate change and the loss of habitat, it is vital that we use new technologies to improve and expand global biodiversity monitoring to thousands of sites around the world. In this article, we describe the acoustical component of the Automated Remote Biodiversity Monitoring Network (ARBIMON), a novel combination of hardware and software for automating data acquisition, data management, and species identification based on audio recordings. The major components of the cyberinfrastructure include: a solar powered remote monitoring station that sends 1-min recordings every 10 min to a base station, which relays the recordings in real-time to the project server, where the recordings are processed and uploaded to the project website (). Along with a module for viewing, listening, and annotating recordings, the website includes a species identification interface to help users create machine learning algorithms to automate species identification. To demonstrate the system we present data on the vocal activity patterns of birds, frogs, insects, and mammals from Puerto Rico and Costa Rica.
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影响因子：
1.9
作者：
Chesmore, ED;Ohya, E
通讯作者：
Ohya, E
影响因子：
--
作者：
Marques TA;Thomas L;Martin SW;Mellinger DK;Ward JA;Moretti DJ;Harris D;Tyack PL
通讯作者：
Tyack PL
影响因子：
1.7
作者：
Hilje, Branko;Aide, T. Mitchell
通讯作者：
Aide, T. Mitchell
影响因子：
2.4
作者：
Anderson, SE;Dave, AS;Margoliash, D
通讯作者：
Margoliash, D
影响因子：
5.1
作者：
Acevedo, Miguel A.;Corrada-Bravo, Carlos J.;Aide, T. Mitchell
通讯作者：
Aide, T. Mitchell