| 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 | 280 | 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 | 34 | 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 | 29 | 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 | 16 | 2021 |
| A survey on face recognition systems J Dalvi, S Bafna, D Bagaria, S Virnodkar arXiv preprint arXiv:2201.02991, 2022 | 10 | 2022 |
| A Comparison of Machine Learning Algorithms for Customer Churn Prediction P Pulkundwar, K Rudani, O Rane, C Shah, S Virnodkar 2023 6th International Conference on Advances in Science and Technology …, 2023 | 7 | 2023 |
| 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 | 7 | 2021 |
| Sugarcane yield prediction using vegetation indices in Northern Karnataka, India SK Jha, VC Patil, BU Rekha, SS Virnodkar, SA Bartalev, D Plotnikov, ... Univ J Agric Res 10 (6), 699-721, 2022 | 4 | 2022 |
| A technique to classify sugarcane crop from Sentinel-2 satellite imagery using U-Net architecture S Virnodkar, VK Pachghare, S Murade Progress in Advanced Computing and Intelligent Engineering: Proceedings of …, 2020 | 3 | 2020 |
| GIS for agricultural land P Teredesai, Z Ujwala, S Dhruvit, V Shyamal International Research Journal of Engineering and Technology (IRJET) 2 (7 …, 2015 | 2 | 2015 |
| Multi-Sensor Approach for Sugarcane Classification Using Deep Convolutional Neural Network S Virnodkar, VP Jha, S Patil The Interciencia 47, 53-81, 2022 | 1 | 2022 |
| Sentiment Analysis and Stock Data Prediction Using Financial News Headlines Approach SRKSSVSBNMADBKSH Gawande Revue d'Intelligence Artificielle 38 (3), 999-1008, 2024 | | 2024 |
| Efficient Handling of Big Data and Network Traffic Control: A Review S Virnodkar, K Kotak, R Jinturkar, P Karania 2022 5th International Conference on Advances in Science and Technology …, 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 |
| Remote Sensing Based Crop Water Stress Assessment Using Machine Learning SS Virnodkar | | 2021 |
| A Review on GSM Applications SV Sarla Kharwar, Krupa Patel International Journal of Advanced Engineering and Research Development 2 (9), 2015 | | 2015 |
| SMS Based File Search & Automatic Contact Saving Technique Using GSM SV Sarla Kharwar , Krupa Patel International Journal of Advanced Engineering and Research Development 2 (9 …, 2015 | | 2015 |
| A Parser: Simple English Sentence Detector and Correction SV Anup Mestry, Sangram Shende, Akshay Mahadik International Journal of Engineering Research and Technology 3 (11), 1171,1172, 2014 | | 2014 |
| Image Deblurring Using Blind Deconvolution V Panda, A Patil, A Rathod, S Virnodkar | | |
