ICT-Based Beekeeping Using IoT and Machine Learning

Integrating information and communication systems into different industries enables storage, management and processing of data and then transforming it into useful information and knowledge. The gradual integration of information technology into beekeeping may provide remarkable results in control over care for bee hives and increase profitability. The aim of this paper is to provide ICT-based means to predict the survival of bee families when the winter season is over. The procedures of collecting and processing of the data from beehives is examined. Several machine learning algorithms are applied and tested. The performance of classification models used for the prediction is estimated. The experimental results are presented.