本文为美国阿巴拉契亚州立大学（作者：AHMAD GHADIRI）的硕士论文，共100页。
蜜蜂占全世界授粉量的一半以上，因此它们在农业中具有非常重要的作用。近年来，由于蜂群崩溃综合症（CCD是一个近代发现而至今不明的自然现象，导致大批蜂巢内的工蜂突然消失。CCD于2006年末出现于北美的蜜蜂群。）的出现，蜜蜂数量逐渐下降，这可能是由于气候变化和污染等原因导致。大量的蜜蜂研究者认为气候变化对蜜蜂有显著的影响。
蜜蜂在花朵、水果和植物之间飞来飞去采集花粉和花蜜。每产生一磅蜂蜜，蜜蜂飞行距离超过55000英里。蜜蜂从蜂箱到授粉，它们在蜂箱周围的活动可以用作评估健康状态是否良好的指标。蜂箱的健康状况、蜜蜂的活动与它们所处的环境有关。因此，需要搜集当地的天气数据以及相应时间的蜜蜂活动情况。本文利用计算机技术设计并实现了一个自动化数据采集系统，该系统利用图像处理技术从蜂房入口前或顶部拍摄的视频中提取数据，一些基于网络的应用程序用于从国家气象局获得温度和湿度数据，以补充在蜂箱本地采集的数据。所有的天气数据和从图像中提取的数据都存储在MySQL数据库中，并被作为本研究的一部分供iPhone App访问。
Honey bees are responsible for more than half of the pollination acrossthe world, hence they have a very important role in agriculture. In recentyears, the number of honey bees have declined due to the Colony CollapseDisorder (CCD), which may be due to possible causes that include climate changeand pollution. A large number of bee researchers believe that climate changecan have a significant effect on honey bees [BeesFree Inc. 2012]. Honey beesfly around to pollinate the flowers, fruits, and plants and to collect pollen andnectar for their own use. For a pound of honey, honey bees fly over 55000 miles[York County Beekeepers’ Association 2011]. Since honey bees start from theirhives to go for pollination, their activities around the hive can be used as agood indicator of their health. The beehive’s health status and the activitiesof honey bees can be related to the environment in which they live. As such,local weather data need to be gathered and correlated to the level of beeactivities in front of their hives. In this thesis, an automated system isdesigned and implemented using computer science techniques for dataacquisition. The system utilizes image processing techniques to extract datafrom the videos taken in front or at the top of the
hive’sentrance. Several web-based applications are used to obtain temperature andhumidity data from the National Weather Service to supplement the data that arecollected at the hive locally. All the weather data and those extracted fromthe images are stored in a MySQL database for analysis and accessed by aniPhone App that is designed as part of this research.
1 引言
2 项目相关工作
3 图像处理技术
4 从图像中提取数据
5 识别蜜蜂并计算蜜蜂数量
6 图像采集与数据管理系统
7 实验结果
8 结论与未来工作
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