International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Plant Leaf Disease Feature Extraction Centered on Intensity Permanence

Abstract

The primary organ of the plant, the leaf, is classified automatically using image processing methods. During processing, the leaf images' features are taken out and used for categorization. Research on plants and agriculture benefits from the extraction of leaf features. The manual feature extraction process is less structured and involves measuring features like shape symmetry, color, etc. with accuracy. Advancements in image processing techniques offer a productive means of extracting features from images of leaves, and numerous innovative techniques have been put forth in the literature. These studies rely less on human intuition and instead focus on automatically extracting features from images using a variety of algorithms. 

Country : India

1 Dr. Shanmuga Rajathi D2 Dr. K Chitra

  1. School of Computer Studies-PG, Rathnavel Subramaniam (RVS) College of Arts and Science, Coimbatore, Tamilnadu, India
  2. School of Computer Studies-PG, Rathnavel Subramaniam (RVS) College of Arts and Science, Coimbatore, Tamilnadu, India

IRJIET, Volume 7, Issue 12, December 2023 pp. 177-181

doi.org/10.47001/IRJIET/2023.712025

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