Dr. Shravankumar Arjunagi

Computer Science & Engineering
Faculty Id:
Associate Professor


Years of Experience:
11 Years
Employment Status:
Full Time

Date of Birth:

9th June 1984


Ph.D. Degree in CSE-Image Processing, 2022, VTU, Belagavi.
PG Degree: M. Tech (Computer Science and Engineering), 2011, VTU, Belagavi.
UG Degree: B. Tech (Information and Technology), 2006, VTU, Belagavi.

Areas of Specialization:

Image Processing, AI & Machine Learning.

Subjects Taught:

Microprocessor and Micro-controller, Operation Research, Advanced Computer Architecture, Compiler Design, Data Base Management System, Data Structures using C++, Operating Systems, Object-oriented Programming Languages, Formal Languages & Automata Theory, Problem Solving with Python, Digital Electronics

Papers Published:

  1. Shravankumar Arjunagi, Dr. Nagaraj.B.Patil “A Survey on Detection and Computing the Amount of Plant Diseases using Image Processing” ,In Journal for Advanced Research in Applied Science, Vol 4(7), DOI: 16.10089.JARAS.2017.V4I7.292299.2251, 2017.
  2. S,Y Arjunagi,N .B Patil,”Red Gram Agro Advisory System”,International Journal of Computer Science and Engineering, Vol.5(9), Sep 2017, E-ISSN: 2347-2693.
  3. Shravankumar Arjunagi, Dr.Nagaraj.B.Patil “Computing amount of crop diseases using Artificial Intelligence” International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-12, October, 2019.(Scopus).
  4. Shravankumar Arjunagi, Dr.Nagaraj B Patil “Texture based Leaf Disease classification using Machine Learning Techniques” International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-9 Issue-1, October 2019.(Scopus).
  5. Shravankumar Arjunagi, Dr.Nagaraj B Patil “An optimal automated disease detection and classification of crop species using hybrid machine learning techniques” Indian Journal of Computer Science and Engineering (IJCSE), e-ISSN : 0976-5166 p-ISSN : 2231-3850, Vol. 11 No. 5 DOI :10.21817/indjcse/2020/v11i5/201105245, Sep-Oct 2020.(Scopus).
  6. Arjunagi, S., Patil, N.B. Optimized convolutional neural network for identification of maize leaf diseases with adaptive ageist spider monkey optimization model. International Journal of Information and technology. (2021).


  1. An Artificial Intelligence based system for detection of COVID influence on Human skin, Patent Number:2021102184, Dated 25 April 2021.

Research Projects Undertaken:


Books Published: