Branch - Computer Science & Engineering
Faculty - Faculty of Engineering & Technology
Date of Registration - 4th November 2019
Supervisor - Dr. Rajat Bhandari, Professor.
Date of Ph.D. Viva - 26th September 2023
Title - Study of Deep Learning Models for Automatic Lemon Plant Disease Detection and Classification
[1] Dilip Singh Solanki, Dr. Rajat Bhandari “Effective data augmentation and training methods for lemon disease detection using deep learning models” Poetique Journal, ISSN NO: 0032-2024, Volume 10, Issue 7, July, 2023 PAGE NO: 62-72. An UGC CARE Approved Group – II Journal DOI:19. 10078. POETIQUE. 2023.V10I7.250374.2790
[2] Dilip Singh Solanki, Dr. Rajat Bhandari et al/Lemon Leaf Disease Detection and Classification at Early Stage using Deep Learning Models NEUROQUANTOLOGY | DECEMBER 2022 | VOLUME 20 | ISSUE 22
|PAGE 3455-3468|DOI: 10.48047/NQ.2022.20.22. NQ10345 listed in Scopus indexed journals. DOI: 10.48047/nq.2022.20.22. NQ10345
[3] Dilip Singh Solanki, Dr. Harish Patidar “An Efficient Method for Lemon Disease Detection Using Digital Image Processing” International Journal for Research in Engineering Application & Management (IJREAM), Vol-07, Issue- 09, DEC 2021, ISSN: 2454-9150 An UGC CARE Approved Group – II Journal. DOI: 10.35291/2454-9150.2021.0622.
[4] Dilip Singh Solanki, Dr. Rajat Bhandari “Analysis and identification of lemon disease using deep Learning models” presented at National Conference on Data Analytics and Computational Application (ICDACA-22) Organized by IAC, ICA, IET, SAGE University, Indore on July 2022.
[5] Dilip Singh Solanki, Dr. Rajat Bhandari “Detection and classification of lemon plant disease using deep learning models” presented at the 2nd international conference on Recent Advances in Modeling and Simulation Techniques in Engineering and Sciences [RAMSTES-2022]. Multiscale Simulation Research Centre (MSRC), and FlexMEMS Research Centre (FMRC) in association with SAMM, SEEC, and SCCE Manipal University Jaipur India held on 9-11, November 2022.
http://hdl.handle.net/10603/524067
