一种有效的监测蜂群减少系统的开发

Philippe Cousin, Eliza Căuia, A. Siceanu, Julien de Cledat
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引用次数: 6

摘要

蜜蜂世界(A. mellifera)正面临着巨大的变化。自20世纪90年代末以来,世界各地的养蜂人都观察到蜜蜂神秘而突然的消失,并报告说蜜蜂种群的下降速度异常之高。与此同时,大量研究也表明,其他传粉媒介的种群数量也在下降。很少被指控的主要原因是气候变化、农药使用、栖息地丧失、寄生虫,但看看导致蜜蜂数量减少的实际问题,但法国的一些研究表明,主要问题是农药(52%)、亚洲大黄蜂(Vespa velutina)、其他疾病和害虫(如破坏瓦螨)(32%)、天气(16%)、小偷(10%)。考虑到蜜蜂是一种非常好的环境生物传感器,开发一种先进的电子系统,在季节的任何时刻评估种群状态的发展,对于环境质量评价和养蜂管理,评估风险和防止种群减少现象非常重要。因此,本研究旨在开发一种独特的蜂窝互联先进解决方案,为养蜂人提供农药污染怀疑、大黄蜂攻击探测器、蜂群信号和小偷报警等直接信息。与市场竞争对手相比,新系统开发了两个主要特点:一个是采集蜜蜂数量的装置,从而获得蜜蜂入口交通的许多信息;一个是先进的声音分析,以检测大黄蜂,以及与蜂群特定生理状态相关的其他信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Development of an Efficient System to Monitor the Honeybee Colonies Depopulations
The world of honeybees (A. mellifera) are facing dramatic changes. Since the late 1990s, beekeepers around the world have observed mysterious and sudden disappearance of bees, and reported unusually high rates of decline in honeybee colonies. In the same time, the numerous studies show also a decline of other pollinators’ populations. The main causes seldom incriminated are climate change, pesticide use, habitat loss, parasites, but looking at real issues leading to honeybees’ populations reduction, but some french studies show that major problems are pesticides (52%), Asian hornet (Vespa velutina), other diseases and pests (i.e. Varroa destructor) (32%), weather (16%), thief (10%). Taking into account that honeybees are a very good environmental biosensor, the development of an advanced electronic system that assess the development of population status at any moment of the season is very important for environmental quality evaluation and for beekeeping management, to evaluate the risks and prevent depopulation phenomenon. Therefore, the present study aims to develop a unique connected advanced solution for beehives to give direct information to beekeepers on pesticide contamination suspicion, hornet attack detector, swarming signals and thief alarm. Two major features, as compared to market competitors, were developed on the new system: a device to count forager bees, therefore get many information about the entrance traffic of honeybees and an advanced sound analysis to detect hornet, but also other signals connected with specific physiological status of honeybee colonies.
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