Shyamal Virnodkar
Orcid: 0000-0003-2145-2009
  According to our database1,
  Shyamal Virnodkar
  authored at least 6 papers
  between 2019 and 2022.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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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