Deep Convolutional Neural Network for Pollen Grains Classification

The beekeeping is the art of cultivating the bees in the aim to remove from this industry the maximum performance with the minimum expenditure. The apiculture products marketed are the honey, wax, pollen, propolis and royal jelly. This activity of topping up contributes to the development of the livestock and to the protection of the Environment. This paper presents the application of deep convolutional neural network for pollen grains recognition based on their images classification. The neural network contains 8 hidden layers where first 5 are convolutionnal neurones responsible for image representations and next 3 are fully connected layers for image classification. The obtained results proved the efficiency of the proposed approach for pollen grains recognition.