Technical gazette, Vol. 25 No. 2, 2018.
Preliminary communication
https://doi.org/10.17559/TV-20160419130812
The Determination of the Developments of Beehives via Artificial Neural Networks
Raif Bayir
; Karabuk University, Demir-Çelik Kampüsü, 78050 Karabuk / Turkey
Ahmet Albayrak
; Karadeniz Technical University, 61030 Trabzon / Turkey
Abstract
Honeybees provide great benefits for people both with the foods they produce and as a pollinator. It is known that they pass the whole year with the foods they collect in spring and summer months. Beekeepers also benefit from the honey produced in these periods. Whether a beehive works adequately or not and its status of development can be understood through the observations by beekeepers. In this study, an Arduino-supported neural network model was developed in order to obtain information about the general situations of beehives. The three-input and three-output neural networks were embedded in a board after the training and testing stage. While temperature, humidity, and weight refer to inputs, good situation, stable situation, and bad situation represent outputs. The real-time model has an accuracy of 99.84%.
Keywords
artificial intelligence; intelligent systems; backpropagation; neural networks; embedded systems
Hrčak ID:
199155
URI
Publication date:
21.4.2018.
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