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

Jingyan Zheng, Zihan Yue and Jing Li

GBP Proceedings Series, 2025, vol. 6, 68-76

Abstract: 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%.

Keywords: convolutional neural network; GoogLeNet; Chinese herbal medicine image classification; identification of honeysuckle flower and wihoneysuckle flower; hyperparameter optimization (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://soapubs.com/index.php/GBPPS/article/view/508/502 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:axf:gbppsa:v:6:y:2025:i::p:68-76

Access Statistics for this article

More articles in GBP Proceedings Series from Scientific Open Access Publishing
Bibliographic data for series maintained by Yuchi Liu ().