The Determination of the Developments of Beehives via Artificial Neural Networks

Creative Commons License

BAYIR R. , Albayrak A.

TEHNICKI VJESNIK-TECHNICAL GAZETTE, cilt.25, ss.553-557, 2018 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 25 Konu: 2
  • Basım Tarihi: 2018
  • Doi Numarası: 10.17559/tv-20160419130812
  • Sayfa Sayıları: ss.553-557


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%.