Ambient Electromagnetic Radiation as a Predictor of Honey Bee (<i>Apis mellifera</i>) Traffic in Linear and Non-Linear Regression: Numerical Stability, Physical Time and Energy Efficiency

Ambient Electromagnetic Radiation as a Predictor of Honey Bee (<i>Apis mellifera</i>) Traffic in Linear and Non-Linear Regression: Numerical Stability, Physical Time and Energy Efficiency

Since bee traffic is a contributing factor to hive health and electromagnetic radiation has a growing presence in the urban milieu, we investigate ambient electromagnetic radiation as a predictor of bee traffic in the hive’s vicinity in an urban environment. To that end, we built two multi-sensor st...

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Bibliographic Details
Main Authors: Vladimir A. Kulyukin, Daniel Coster, Anastasiia Tkachenko, Daniel Hornberger, Aleksey V. Kulyukin
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
precision apiculture
precision beekeeping
electromagnetic radiation
electronic beehive monitoring
machine learning
regression
Online Access:https://www.mdpi.com/1424-8220/23/5/2584

Internet

https://www.mdpi.com/1424-8220/23/5/2584

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