The Determination of the Developments of Beehives via Artificial Neural Networks
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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2018-01-01
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| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/293214 |
| _version_ | 1827282868387184640 |
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| author | Raif Bayir Ahmet Albayrak |
| author_facet | Raif Bayir Ahmet Albayrak |
| author_sort | Raif Bayir |
| collection | DOAJ |
| description | 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%. |
| first_indexed | 2024-04-24T09:26:20Z |
| format | Article |
| id | doaj.art-074e55995b494f1685c0f6b2cf5fe667 |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:26:20Z |
| publishDate | 2018-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-074e55995b494f1685c0f6b2cf5fe6672024-04-15T14:44:23ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392018-01-0125255355710.17559/TV-20160419130812The Determination of the Developments of Beehives via Artificial Neural NetworksRaif Bayir0Ahmet Albayrak1Karabuk University, Demir-Çelik Kampüsü, 78050 Karabuk / TurkeyKaradeniz Technical University, 61030 Trabzon / TurkeyHoneybees 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%.https://hrcak.srce.hr/file/293214artificial intelligenceintelligent systemsbackpropagationneural networksembedded systems |
| spellingShingle | Raif Bayir Ahmet Albayrak The Determination of the Developments of Beehives via Artificial Neural Networks Tehnički Vjesnik artificial intelligence intelligent systems backpropagation neural networks embedded systems |
| title | The Determination of the Developments of Beehives via Artificial Neural Networks |
| title_full | The Determination of the Developments of Beehives via Artificial Neural Networks |
| title_fullStr | The Determination of the Developments of Beehives via Artificial Neural Networks |
| title_full_unstemmed | The Determination of the Developments of Beehives via Artificial Neural Networks |
| title_short | The Determination of the Developments of Beehives via Artificial Neural Networks |
| title_sort | determination of the developments of beehives via artificial neural networks |
| topic | artificial intelligence intelligent systems backpropagation neural networks embedded systems |
| url | https://hrcak.srce.hr/file/293214 |
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