Shyamal Virnodkar
Orcid: 0000-0003-2145-2009
According to our database1,
Shyamal Virnodkar
authored at least 6 papers
between 2019 and 2022.
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Bibliography
2022
CaneSat dataset to leverage convolutional neural networks for sugarcane classification from Sentinel-2.
J. King Saud Univ. Comput. Inf. Sci., 2022
2021
DenseResUNet: An Architecture to Assess Water-Stressed Sugarcane Crops from Sentinel-2 Satellite Imagery.
Traitement du Signal, 2021
2020
2019
Performance Evaluation of RF and SVM for Sugarcane Classification Using Sentinel-2 NDVI Time-Series.
Proceedings of the Progress in Advanced Computing and Intelligent Engineering, 2019
A Technique to Classify Sugarcane Crop from Sentinel-2 Satellite Imagery Using U-Net Architecture.
Proceedings of the Progress in Advanced Computing and Intelligent Engineering, 2019