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Name - Manoj Agrawal (18ENG7CSE0008)

Branch - Computer Science & Engineering

Faculty - Faculty of Engineering & Technology

Date of Registration - 23rd January 2019

Supervisor - Dr. Shweta Agrawal.

Date of Ph.D. Viva - 15th October 2022

Title - Investigation of Convolutional Neural Network (CNN) Models for Detection & Classification of Different Rice Plant Diseases


[1] Manoj Agrawal and Shweta Agrawal “Rice Plant Diseases Detection & Classification Using Deep Learning Models: A Systematic Review”, Journal of Critical Reviews, Vol. 7, No. 11, (2020) pp.4376–4390. (Published: Scopus Indexed)

[2] Manoj Agrawal and Shweta Agrawal “Rice Plant Diseases Detection Using Convolutional Neural Networks”, International Journal of Engineering Systems Modelling and Simulation, (2022), DOI:10.1504/IJESMS.2022.10044308. (Accepted for publication: Scopus Indexed)

[3] Submitted one research paper titled “A Novel Hybrid Approach for Rice Plant Disease Detection Based on Stacked Autoencoder and Convolutional Neural Network Model” in Journal of Electronic Imaging, SCI Indexed and Scopus Indexed (Communicated).