ArticleScientific reports2022
Deep learning-enabled mobile application for efficient and robust herb image recognition.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Plasmonic artificial inspector for herbal medicines via surface-enhanced Raman spectroscopy and deep learning.Scientific reports · 2026Article
- Benchmarking multimodal large language models for medicinal plant identification.Frontiers in plant science · 2026Article
- Application and research progress on artificial intelligence in the quality of Traditional Chinese Medicine.Frontiers in pharmacology · 2025Review
- A practical guide to implementing artificial intelligence in traditional East Asian medicine research.Integrative medicine research · 2024Article
- NB-TCM-CHM: Image dataset of the Chinese herbal medicine fruits and its application in classification through deep learning.Data in brief · 2024Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the increasing popularity of herbal medicine, high standards of the high quality control of herbs becomes a necessity, with the herb recognition as one of the great challenges. Due to the complicated processing procedure of the herbs, methods of manual recognition that require chemical materials and expert knowledge, such as fingerprint and experience, have been used. Automatic methods can partially alleviate the problem by deep learning based herb image recognition, but most studies require powerful and expensive computation hardware, which is not friendly to resource-limited settings. In this paper, we introduce a deep learning-enabled mobile application which can run entirely on common low-cost smartphones for efficient and robust herb image recognition with a quite competitive recognition accuracy in resource-limited situations. We hope this application can make contributions to the increasing accessibility of herbal medicine worldwide.
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