Chinese Herbal Medicine Identification Based on Image Classification

As science and technology continue to advance, the use of modern techniques in researching and applying Chinese herbal medicine has become increasingly popular. One such technology, image recognition, holds great potential in areas like identifying medicinal materials, controlling quality, and determining different types of herbs. Its efficiency, convenience, and accuracy make it an ideal tool for these tasks. This article reviews the use of image recognition in the field of Chinese herbal medicine. It begins by explaining the basic principles of image recognition technology and its current use in Chinese herbal medicine. Then, it looks at various research methods, along with the pros and cons of applying image recognition to herbal medicine. Finally, it explores the future possibilities and research directions for this technology in the field. Chinese herbal medicine is an essential part of traditional Chinese medicine, with its own unique system of theory and clinical value. As traditional Chinese medicine becomes more recognized worldwide, there is a growing interest in ensuring the quality and accurate identification of these herbal materials. Traditionally, identifying Chinese herbs relied heavily on the expertise and senses of professionals, but this method can be subjective and limited. It's often slow, and it's hard to achieve fast, accurate, and efficient identification. With the continuous advancement of modern technology, techniques like image recognition are becoming more popular in Chinese herbal medicine. These technologies are now being used in identifying herbs, controlling quality, and determining their varieties, offering a faster and more reliable alternative.aspects.