Original Research Article

Article volume = 2023 and issue = 2

Pages: 171–176

Article publication Date: November 28, 2023

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Identification of Nutrient Deficiency and Disease Detection in Medicinal Plants: A Review

Shilpa K.C.(a) and Nirmala C.R.(b)

(a) Research Scholar, Department of Computer Science & Engg., Bapuji Institute of Engineering & Technology, Davanagere-577004, India.

(b) Department of Computer Science & Engg., Bapuji Institute of Engineering & Technology, Davanagere-577004, India.


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.

Keywords:

Medicinal plants, nutrient deficiencies, one-shot learning approach.


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Cite this article as:
  • Shilpa K.C. and Nirmala C.R., Identification of Nutrient Deficiency and Disease Detection in Medicinal Plants: A Review, Communications in Combinatorics, Cryptography & Computer Science, 2023(2), PP.171–176, 2023
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