Identify the Beehive Sound using Deep Learning

Flowers play an essential role in removing the duller from environment. The life cycle of flowering plants involves pollination, fertilization, flowering, seed- formation, dispersion, and germination. Honeybees pollinate approximately 75% all plants. Environmental pollution, climate change, natural landscape demolition, so on, threaten habitats, thus continuously reducing number honeybees. As a result, several researchers are attempting to resolve this issue. Applying acoustic classification recordings beehive sounds may be way detecting changes within them. In research, we use deep learning techniques, namely Sequential Neural Network, Convolutional Recurrent on recorded classify bee nonbeehive noises. addition, perform comparative study among some popular non-deep Support Vector Machine, Decision Tree, Random Forest, Naïve Bayes, with techniques. techniques also verified combined (25-75% noises).