Bamboo forest pest identification method based on a convolutional neural network model

The invention discloses a bamboo forest pest recognition method based on a convolutional neural network model, and belongs to the technical field of agricultural and forestry pest recognition and classification. The method comprises the steps of collecting the bamboo forest pest sample image data; processing the pest sample image data of the bamboo forest to obtain a processed pest sample image data set of the bamboo forest; adopting a VGG convolutional neural network model, and optimizing the VGG convolutional neural network model; carrying out target pest identification and classification byutilizing the optimized VGG convolutional neural network model; developing a set of pest identifying and classifying method suitable for bamboo forests based on a VGGNet network structure, so that rapid identification and classification of common bamboo forest pests can be achieved, the automatic identification and classification can be achieved, and the identification accuracy is high. 本发明公开了种基于卷积神经网络模型的竹林害虫识别方法，属于农林害虫识