A Review on Robust Computational Approaches Based Identification and Authentication of Herbal Raw Drugs

(E-pub Ahead of Print)

Author(s): Preet Amol Singh, Neha Bajwa, Subh Naman, Ashish Baldi*.

Journal Name: Letters in Drug Design & Discovery

Become EABM
Become Reviewer

Abstract:

Background: Over the last decade, there has been a sudden rise in the demand of herbal as well as Information and Technology (IT) industry around the world. Identification of plant species has become useful and relevant to all the members of the society including farmers, traders and hikers etc. Conventional authentication techniques such as morphological characterization, histological methods, and optical microscopy require multiple skills which are tedious, time-consuming and difficult to learn for non-experts. This creates hurdle for individuals interested in acquiring knowledge of species. Relying on rapid, economical and computerized approaches to identify and authenticate medicinal plants has become a recent development.

Objective: The purpose of this review is to summarize artificial intelligence-based technologies for wider dissemination of common plant-based knowledge such as identification and authentication to common people earlier limited to only experts.

Methods: A robust plant identification design enabling automated plant-organ and feature-based identification utilizing pattern recognition and image processing techniques resulting in image retrieval and recognition have been highlighted in this review for all the concerned stakeholders. Attempts have been made to compare conventional authentication methods with advanced computerized techniques to emphasize the advantages and future applications of an automated identification system in countering adulteration and providing fair trade opportunities to farmers.

Results: Major findings suggested that identification of microscopical features such as shape and size of calcium oxalate crystals, trichomes, scleriods, stone cells, fibers etc. are the essential descriptors for identification and authentication of herbal raw drugs. Conclusion: This computational design can be successfully employed to address quality issues of medicinal plants. Therefore, computational techniques proved as a milestone in the growth of agriculture and medicinal plant industries.

Keywords: Authentication, Artificial intelligence, Computational techniques, Herbal drugs, Phyto-chemicals, Phyto-pharmaceuticals, Identification, Medicinal plants, Mobile applications

Rights & PermissionsPrintExport Cite as

Article Details

(E-pub Ahead of Print)
DOI: 10.2174/1570180817666200304125520
Price: $95