[email protected] +91 9840521421 Scholarly Open Access, Peer-reviewed, Refereed Journal e-ISSN 2582-8746 Since 2020
  1. Home
  2. Archives
  3. 2022
  4. Vol. 3 Issue 5
  5. Article
Research Article

Epidermis Infection Detection Using Machine Learning

  • Paper ID 695
  • Volume 3, Issue 5
  • Pages 28-30
  • Published Online: September-October 2022
Open Access Peer Reviewed

Authors

  • Bhavya Hiremath1
  • Bhavan.G2

12 Department of MCA, VTU, Karnataka, India.

Article Information

DOI
No DOI
Published Online
September-October 2022
Pages
28-30
Article Type
Research Article
Check for updates
No DOI available for cross-reference

References

[1]. Mr. Patil.S.P, Mr.Kumbhar.V.P, Mr.Yadav.D.R, Ms.Ukirade.N.S Detection of Leaf Diseases by Image Processing International Journal
of Advanced Research in Electronics and Communication Engineering (IJARECE)Volume4, Issue 4, April2015.
[2]. KenPernezny, MonicaElliott, Aaron Palmateer and Nikolavranek Guidelines for Identification and Management of Plant Disease
Problems: PartII. Diagnosing Plant Diseases Caused by Fungi, Bacteria and Viruses UFIFAS Extension.
[3]. Anand. H. Kulkarni, AshwinPatil R. K. Applying image processing technique to detect plant diseases International Journal of Modern
Engineering Research (IJMER) Vol.2, Issue.5, Sep-Oct. 2012 pp-3661-3664ISSN: 2249-6645.
[4]. Shivkumar Bagde, Swaranjali Patil, Snehal Patil, Poonam Patil Artificial Neural Network Based Plant Leaf Disease Detection
International Journal of Computer Science and Mobile Computing, Vol.4 Issue.4, April-2015, pg.900-905.
[5]. Jagadeesh Devdas Pujari, Rajesh Yakkundimath and Abdulmunaf Syedhusain Byadgi Grading and Classification of Anthracnose
Fungal Disease of Fruits based on Statistical Texture Features International Journal of Advanced Science and Technology Vol.52,
March 2013.. (8)
APC from ₹1200 + 18% GST

Peer-reviewed open access₹1200 Indian (₹1400 with DOI)$80 USD internationalpaid after acceptance Peer-reviewed open access₹1200 Indian$80 USD international ₹1200 Indian · $80 intl

  • CrossRef DOI
  • ISSN 2582-8746
  • Open Access
  • Peer Reviewed
  • Plagiarism Checked
  • Google Scholar
Submit Paper