Construction and Application of Identification Model of Honeysuckle Flower and Wild Honeysuckle Flower Based on Convolutional Neural Network

Honeysuckle flower is an important Chinese herbal medicine, widely used in heat-clearing and detoxifying, anti-virus and other fields. However, there is confusion between wild honeysuckle flower and honeysuckle flower in the market, which not only affects the efficacy and safety of traditional Chinese medicine, but also damages the rights and interests of consumers. The traditional identification methods have the disadvantages of strong subjectivity and destructive processing, and a new identification technology is urgently needed. We developed a non-destructive, efficient and accurate identification model of honeysuckle flower and wild honeysuckle flower by using convolutional neural network (CNN) technology. The convolution neural network can extract the edges, color, texture and other features of the image, simplifies the image classification process, which has a significant advantage in traditional character identification of traditional Chinese medicine decoction pieces. The identification model can be widely used in the production, circulation and use of Chinese medicinal materials, and provide technical support for the quality control of Chinese medicinal materials. It can help farmers, medicinal materials dealers and pharmaceutical manufacturers to quickly and accurately identify honeysuckle flower and wild honeysuckle flower, and avoid inferior or counterfeit products into the market. After training, the accuracy of the model can reach 96.8%.