A Technique to Classify Sugarcane Crop from Sentinel-2 Satellite Imagery Using U-Net Architecture. - Shyamal Virnodkar; Vinod Keshaorao Pachghare; Sagar Murade (ICACIE (2), 2019)

Performance Evaluation of RF and SVM for Sugarcane Classification Using Sentinel-2 NDVI Time-Series. - Shyamal Virnodkar; Vinod Keshaorao Pachghare; Virupakshagouda C. Patil; Sunil Kumar Jha (ICACIE (2), 2019)

CaneSat. - Shyamal Virnodkar; Vinod Keshaorao Pachghare; Virupakshagouda C. Patil; Sunil Kumar Jha (IEEE DataPort, 2020)

DenseResUNet: An Architecture to Assess Water-Stressed Sugarcane Crops from Sentinel-2 Satellite Imagery. - Shyamal Virnodkar; Vinod Keshaorao Pachghare; Virupakshagouda C. Patil; Sunil Kumar Jha (Traitement du Signal, 2021)

A Survey on Face Recognition Systems. - Jash Dalvi; Sanket Bafna; Devansh Bagaria; Shyamal Virnodkar (CoRR, 2022)

CaneSat dataset to leverage convolutional neural networks for sugarcane classification from Sentinel-2. - Shyamal Virnodkar; Vinod Keshaorao Pachghare; Virupakshagouda C. Patil; Sunil Kumar Jha (J. King Saud Univ. Comput. Inf. Sci., 2022)