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现在可以对个体昆虫行为进行自动终身监测。

Automatic life-long monitoring of individual insect behaviour now possible.

作者信息

Streit Sebastian, Bock Fiola, Pirk Christian W W, Tautz Jürgen

机构信息

Department of Behavioral Physiology and Sociobiology, University of Würzburg, Germany.

出版信息

Zoology (Jena). 2003;106(3):169-71. doi: 10.1078/0944-2006-00113.

Abstract

Automatic tracking and identification of individuals has the potential to revolutionize the study of insects, especially social insects, by opening up options for questions which could not be asked before. To achieve this we developed a reliable and cost-sensible RFID (Radio-Frequency Identification) based solution that automatically recognises a virtually unlimited number (18 x 10(18) possible ID numbers) of individual insects down to the size of bees and ants. The data are collected automatically for any desired time span (if interesting, up to the entire life of the individual), pre-processed and saved in a database for further analysis. The usage of database techniques allows parallel data processing with a virtually unlimited number of parameter connections. ID numbers can be linked to any simultaneously recorded parameters of interest, e.g. spatial and temporal information as shown here for a bumblebee colony.

摘要

自动跟踪和识别个体昆虫有潜力彻底改变昆虫研究,特别是社会性昆虫的研究,因为它为以前无法提出的问题开辟了途径。为实现这一点,我们开发了一种基于射频识别(RFID)的可靠且经济合理的解决方案,该方案能自动识别小至蜜蜂和蚂蚁大小的几乎无限数量(18×10¹⁸个可能的ID号)的个体昆虫。数据会在任何所需的时间段内自动收集(如果感兴趣,可长达个体的整个生命周期),进行预处理后保存在数据库中以供进一步分析。数据库技术的使用允许对几乎无限数量的参数连接进行并行数据处理。ID号可以与任何同时记录的感兴趣参数相关联,例如这里展示的一个大黄蜂群体的空间和时间信息。

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