@article{Article_71,

title = {Identification of Nutrient Deficiency and Disease Detection in Medicinal Plants: A Review},

journal = {Communications in Combinatorics, Cryptography & Computer Science},

volume = {2023},

issue = {2},

issn = { 2783-5456 },

year = {2023},

url = {http://cccs.sgh.ac.ir/Articles/2023/issue 2/2-11-IdentificationofNutrientDeficiency.pdf},

author = {Shilpa K.C. and Nirmala C.R.},

keywords = {Medicinal plants, nutrient deficiencies, one-shot learning approach.},

abstract = {Medicinal plants are an essential source of medicinal chemicals used in both conventional and alternative medicine. The pharmaceutical and healthcare sectors must guarantee their optimum development and well-being. In this study, we explore the potentially useful application of one-shot learning approaches for the diagnosis of illnesses and nutrient deficiencies in medicinal plants, offering a practical and economical approach to plant health management.}

};