基于机器学习的智能昆虫分目识别算法应用

Insect Recognition Based on Machine Learning

以智能昆虫分目识别系统为背景,本文运用卷积神经网络原理提出基于Vgg16的昆虫图像识别方法,提高自然环境下昆虫的智能识别效率。本文利用Vgg16神经网络的预训练模型来进行昆虫图像的特征提取,从而实现昆虫的智能识别,仿真实验证明本优化算法确实对智能昆虫识别有着较高的应用价值。

Based on the intelligent insect eye-shadow recognition system, this paper proposes a Vgg16-based insect image recognition method based on the convolutional neural network principle to improve the intelligent recognition efficiency of insects in the natural environment. In this paper,the pre-training model of Vgg16 neural network is used to extract the features of insect images, so as to realize the intelligent recognition of insects. The simulation experiment proves that the optimization algorithm has a high application value for intelligent insect identification.