| Remote sensing and machine learning for crop water stress determination in various crops: a critical review SS Virnodkar, VK Pachghare, VC Patil, SK Jha Precision Agriculture 21 (5), 1121-1155, 2020 | 201 | 2020 |
| Application of machine learning on remote sensing data for sugarcane crop classification: A review SS Virnodkar, VK Pachghare, VC Patil, SK Jha ICT Analysis and Applications: Proceedings of ICT4SD 2019, Volume 2, 539-555, 2020 | 32 | 2020 |
| CaneSat dataset to leverage convolutional neural networks for sugarcane classification from Sentinel-2 SS Virnodkar, VK Pachghare, VC Patil, SK Jha Journal of King Saud University-Computer and Information Sciences 34 (6 …, 2022 | 24 | 2022 |
| Performance evaluation of RF and SVM for sugarcane classification using sentinel-2 NDVI time-series S Virnodkar, VK Pachghare, VC Patil, SK Jha Progress in Advanced Computing and Intelligent Engineering: Proceedings of …, 2021 | 13 | 2021 |
| Remote sensing technology and applications in agriculture BU Rekha, VV Desai, PS Ajawan, SK Jha 2018 International Conference on Computational Techniques, Electronics and …, 2018 | 8 | 2018 |
| The VEGA-GEOGLAM information system: a tool for the development of methods and approaches to using satellite remote sensing data in problem-solving tasks of global agricultural … V Tolpin, S Bartalev, E Elkina, AV Kashnitskiy, AM Konstantinova, ... Sovr Probl DZZ Kosm 16, 183-97, 2019 | 7 | 2019 |
| DenseResUNet: An Architecture to Assess Water-Stressed Sugarcane Crops from Sentinel-2 Satellite Imagery. SS Virnodkar, VK Pachghare, VC Patil, SK Jha Traitement du Signal 38 (4), 2021 | 5 | 2021 |
| Development of satellite monitoring methods for sugarcane crop condition assessment in Peninsular India ES Elkina, VA Egorov, DE Plotnikov, EV Samofal, SA Bartalev, VC Patil, ... Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa 16 (5 …, 2019 | 3 | 2019 |
| Sugarcane Yield Prediction Using Vegetation Indices in Northern Karnataka, India Sunil Kumar Jha, Virupakshagouda C. Patil, Rekha B.U, Shyamal S. Virnodkar ... Universal Journal of Agricultural Research 10 (6), 699-721, 2022 | 1 | 2022 |
| Multi-Sensor Approach for Sugarcane Classification Using Deep Convolutional Neural Network S Virnodkar, V Pachghare, SK Jha, S Patil The Interciencia 47 (11), 53-81, 2022 | | 2022 |
| Impact of COVID-19 on Water Quality of Yamuna River, Delhi SK Jha, AK Sahni, SS Virnodkar International Journal of Lakes and Rivers 15 (1), 67-81, 2022 | | 2022 |
| III-SO32 SUGARCANE CROP WATER STATUS MAPPING USING LANDSAT 8 IMAGERY, CROP WATER STRESS INDEX (CWSI), AND METRIC MODELS. VC Patil, SK Jha, A Banerjee, Y Algat | | 2021 |
| Computer and Information Sciences SS Virnodkar, VK Pachghare, VC Patil, SK Jha | | |
Dr. Shyamal Satish VirnodkarAssociate Professor in Computer EngineeringVerified email at somaiya.edu
