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Prethodno priopćenje
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

Puni tekst: engleski, pdf (964 KB) str. 553-557 preuzimanja: 468* citiraj
APA 6th Edition
Bayir, R. i Albayrak, A. (2018). The Determination of the Developments of Beehives via Artificial Neural Networks. Tehnički vjesnik, 25 (2), 553-557. https://doi.org/10.17559/TV-20160419130812
MLA 8th Edition
Bayir, Raif i Ahmet Albayrak. "The Determination of the Developments of Beehives via Artificial Neural Networks." Tehnički vjesnik, vol. 25, br. 2, 2018, str. 553-557. https://doi.org/10.17559/TV-20160419130812. Citirano 15.05.2021.
Chicago 17th Edition
Bayir, Raif i Ahmet Albayrak. "The Determination of the Developments of Beehives via Artificial Neural Networks." Tehnički vjesnik 25, br. 2 (2018): 553-557. https://doi.org/10.17559/TV-20160419130812
Harvard
Bayir, R., i Albayrak, A. (2018). 'The Determination of the Developments of Beehives via Artificial Neural Networks', Tehnički vjesnik, 25(2), str. 553-557. https://doi.org/10.17559/TV-20160419130812
Vancouver
Bayir R, Albayrak A. The Determination of the Developments of Beehives via Artificial Neural Networks. Tehnički vjesnik [Internet]. 2018 [pristupljeno 15.05.2021.];25(2):553-557. https://doi.org/10.17559/TV-20160419130812
IEEE
R. Bayir i A. Albayrak, "The Determination of the Developments of Beehives via Artificial Neural Networks", Tehnički vjesnik, vol.25, br. 2, str. 553-557, 2018. [Online]. https://doi.org/10.17559/TV-20160419130812

Sažetak
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%.

Ključne riječi
artificial intelligence; intelligent systems; backpropagation; neural networks; embedded systems

Hrčak ID: 199155

URI
https://hrcak.srce.hr/199155

Posjeta: 812 *