| End-to-end 3D CNN for plot-scale soybean yield prediction using multitemporal UAV-based RGB images S Bhadra, V Sagan, J Skobalski, F Grignola, S Sarkar, J Vilbig Precision Agriculture 25 (2), 834-864, 2024 | 8 | 2024 |
| Soybean seed composition prediction from standing crops using PlanetScope satellite imagery and machine learning S Sarkar, V Sagan, S Bhadra, K Rhodes, M Pokharel, FB Fritschi ISPRS Journal of Photogrammetry and Remote Sensing 204, 257-274, 2023 | 6 | 2023 |
| Assessment of water quality varies between pre-monsoon and post-monsoon season of the typical contaminated river of Bangladesh. A case study of Shitalakhya river, Dhaka HI Pia, M Aktar, S Sarkar, A Rahman, A Rayhan, MM Islam, M Hassan Int. J. Agric. Environ. Biores 3, 129-141, 2018 | 4 | 2018 |
| PROSAIL-Net: A transfer learning-based dual stream neural network to estimate leaf chlorophyll and leaf angle of crops from UAV hyperspectral images S Bhadra, V Sagan, S Sarkar, M Braud, TC Mockler, AL Eveland ISPRS Journal of Photogrammetry and Remote Sensing 210, 1-24, 2024 | 3 | 2024 |
| Using Machine Learning to Understand the Spatiotemporal Variability of Harmful Algae Blooms in Illinois Waters S Sarkar Southern Illinois University at Carbondale, 2021 | 1 | 2021 |
| Spectral enhancement of PlanetScope using Sentinal-2 images to estimate soybean yield and seed composition S Sarkar, V Sagan, S Bhadra, FB Fritschi Scientific Reports 14 (1), 15063, 2024 | | 2024 |
