Реферат
The word Taxonomy is the way of Classification. It is the science of naming and classifying all the living organisms as well as extinct organisms of the world. Swedish Botanist Carlous Linnaeus was the father of taxonomy;Out of 17000 plant species present in India, more than 7600 plants are medicinal plants. Indigenous Indian medicines are formulations of traditional knowledge and medicinal plant extracts. The traditional knowledge is transferred from one generation to other generations which is used as drug for various diseases, instead of relying on what is the ingredients and proportions these drugs are based on traditional knowledge. These drugs involve the use of plant extract. The World Health Organization (WHO), leading agency in health care found that 80 % population in low economic output countries depend on traditional medicine for their essential health care[1]. In the current era of pandemic medicinal plant species like citrus spp, allium sativum, allium cepa found effective in management of COVID 19. As per WHO guidelines, In the field of medicinal research where clinical trials are used for new drug discovery, there is need of continuous supply of authenticated products which are correctly identified, classified, and verified [1]. Traditional identification and classification methods are not quick, efficient and reliable. Automated Classification of medicinal Plants help to conserve knowledge of medicinal plant species, share it from one generation to next generation and help the whole society to improve the knowledge about medicinal plants. The paper presents traditional and recent trends using Computer vision and machine learning for classifying medicinal plant species. The main focus is on Leaf image as input. It presents the challenges as well as opportunities in identifying and classifying medicinal plant species by performing comprehensive review of traditional methodologies. © 2023 Author(s).