Statistical analysis and modeling of honeybee foraging networks for apiculture

S. Routray, Renny M. Thakeran, D. Srikanth, P. Preeti, K. Keerthi
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引用次数: 0

Abstract

Foraging is a typical behavior of honeybees. In fact, it is the main purpose of the lives of the working class honeybees. Foraging is essential for the survival of the honeybees and it has significant impact on the pollination of grains in the foraging environment. In order to have proper pollination as well as healthy production of honey, it is necessary to have an optimized environment of foraging. In this article, we provide the study and analysis of honeybee foraging networks. The main aim of this work is to develop a statistical model for honeybee foraging network distances as measured from the beehives. This can be a potential application in improving the yield in apiculture (cultivation of honeybees). We develop a statistical model for honeybee foraging networks in the similar way they are modeled for communication networks. At present, there is no statistical model available for honeybee foraging network distances. This statistical model for honeybee foraging networks can help the apiculture farmers to improve their yield. From our analysis, we find that GEV distribution is suitable for the statistical modeling of honeybee foraging networks.
蜂业蜜蜂觅食网络的统计分析与建模
觅食是蜜蜂的一种典型行为。事实上,它是工人阶级蜜蜂生活的主要目的。觅食对蜜蜂的生存至关重要,对觅食环境下的谷物传粉有重要影响。为了保证蜂蜜的正常授粉和健康生产,需要有一个优化的采蜜环境。本文对蜜蜂的觅食网络进行了研究和分析。这项工作的主要目的是建立一个统计模型,用于蜜蜂觅食网络距离的测量从蜂箱。这在提高养蜂业(蜜蜂的养殖)产量方面具有潜在的应用价值。我们开发了一个蜜蜂觅食网络的统计模型,类似于它们为通信网络建模的方式。目前,还没有可用的蜜蜂觅食网络距离统计模型。这种蜜蜂觅食网络的统计模型可以帮助养蜂人提高产量。通过分析,我们发现GEV分布适合于蜜蜂觅食网络的统计建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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