• Register
  • Login

European Journal of Molecular & Clinical Medicine

  • Home
  • Browse
    • Current Issue
    • By Issue
    • By Subject
    • Keyword Index
    • Author Index
    • Indexing Databases XML
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Publication Ethics
    • Indexing and Abstracting
    • Peer Review Process
    • News
  • Guide for Authors
  • Submit Manuscript
  • Contact Us
Advanced Search

Notice

As part of Open Journals’ initiatives, we create website for scholarly open access journals. If you are responsible for this journal and would like to know more about how to use the editorial system, please visit our website at https://ejournalplus.com or
send us an email to info@ejournalplus.com

We will contact you soon

  1. Home
  2. Volume 7, Issue 3
  3. Authors

Online ISSN: 2515-8260

Volume7, Issue3

Automated Quality Assessment of Crops Using Image Processing and Data Mining Techniques

    G Sofiya SP. Chokkalingam Sybi Cynthia J

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 3, Pages 1608-1618

  • Show Article
  • Download
  • Cite
  • Statistics
  • Share

Abstract

Today, Identification of good quality seeds or crops is a major challenge in India. It is sort out using Image Classification and Data Mining techniques. Picture classification is a favoured strategy for horticulture item identification since the item is unblemished from the cycle. The image is captured and the features are distracted based on their attributes. This is then clustered using K-means and Principal Component Analysis method to assign the grades based on the result.
Keywords:
    Grain classification Computer Vision K-nearest neighbour algorithm crops good quality seeds
  • PDF (451 K)
  • XML
(2020). Automated Quality Assessment of Crops Using Image Processing and Data Mining Techniques. European Journal of Molecular & Clinical Medicine, 7(3), 1608-1618.
G Sofiya; SP. Chokkalingam; Sybi Cynthia J. "Automated Quality Assessment of Crops Using Image Processing and Data Mining Techniques". European Journal of Molecular & Clinical Medicine, 7, 3, 2020, 1608-1618.
(2020). 'Automated Quality Assessment of Crops Using Image Processing and Data Mining Techniques', European Journal of Molecular & Clinical Medicine, 7(3), pp. 1608-1618.
Automated Quality Assessment of Crops Using Image Processing and Data Mining Techniques. European Journal of Molecular & Clinical Medicine, 2020; 7(3): 1608-1618.
  • RIS
  • EndNote
  • BibTeX
  • APA
  • MLA
  • Harvard
  • Vancouver
  • Article View: 287
  • PDF Download: 309
  • LinkedIn
  • Twitter
  • Facebook
  • Google
  • Telegram
Journal Information

Publisher:

Email:  editor.ejmcm21@gmail.com

  • Home
  • Glossary
  • News
  • Aims and Scope
  • Privacy Policy
  • Sitemap

 

For Special Issue Proposal : editor.ejmcm21@gmail.com

This journal is licensed under a Creative Commons Attribution 4.0 International (CC-BY 4.0)

Powered by eJournalPlus