The Determination of the Developments of Beehives via Artificial Neural Networks

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dc.authoridALBAYRAK, AHMET/0000-0002-2166-1102
dc.contributor.authorBayir, Raif
dc.contributor.authorAlbayrak, Ahmet
dc.date.accessioned2024-09-29T16:06:31Z
dc.date.available2024-09-29T16:06:31Z
dc.date.issued2018
dc.departmentKarabük Üniversitesien_US
dc.description.abstractHoneybees 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%.en_US
dc.identifier.doi10.17559/TV-20160419130812
dc.identifier.endpage557en_US
dc.identifier.issn1330-3651
dc.identifier.issn1848-6339
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85045927122en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage553en_US
dc.identifier.urihttps://doi.org/10.17559/TV-20160419130812
dc.identifier.urihttps://hdl.handle.net/20.500.14619/6889
dc.identifier.volume25en_US
dc.identifier.wosWOS:000430936800032en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherUniv Osijek, Tech Facen_US
dc.relation.ispartofTehnicki Vjesnik-Technical Gazetteen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectartificial intelligenceen_US
dc.subjectintelligent systemsen_US
dc.subjectbackpropagationen_US
dc.subjectneural networksen_US
dc.subjectembedded systemsen_US
dc.titleThe Determination of the Developments of Beehives via Artificial Neural Networksen_US
dc.typeArticleen_US

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