Identification of water-stressed area in maize crop using uav based remote sensing A Kumar, S Shreeshan, N Tejasri, P Rajalakshmi, W Guo, B Naik, ... 2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), 146-149, 2020 | 10 | 2020 |
Deep Learning Based Overcomplete Representations for Paddy Rice Crop and Weed Segmentation GU Sai, N Tejasri, A Kumar, P Rajalakshmi IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 4 | 2022 |
Drought Stress Segmentation on Drone captured Maize using Ensemble U-Net framework N Tejasri, P Rajalakshmi, B Naik, UB Desai 2022 IEEE 5th International Conference on Image Processing Applications and …, 2022 | 3 | 2022 |
Performance Comparison of Multispectral Channels for Land Use Classification T Nampally, J Wu, S Dev IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 1 | 2023 |
Intelligent Drought Stress Monitoring on Spatio-Spectral-Temporal Drone based Crop Imagery using Deep Networks N Tejasri, R Pachamuthu, B Naik, UB Desai 2nd AAAI Workshop on AI for Agriculture and Food Systems, 2023 | 1 | 2023 |
Material Recognition Using Deep Learning Techniques N Tejasri, M Ekapanyapong IndiaRxiv, 2019 | 1 | 2019 |
StressNet: A Spatial-Spectral-Temporal Deformable Attention-based Framework for Water Stress Classification in Maize T Nampally, K Kumar, S Chatterjee, R Pachamuthu, B Naik, UB Desai Frontiers in Plant Science 14, 1241921, 2023 | | 2023 |
Drought and Nitrogen Induced Stress Identification for Maize Crop using Deep Learning deployed on Unmanned Aerial Vehicles (Drones) BN Tejasri N, Ujwal Sai, Siddha Ganju, A kumar, Rajalakshmi P 2021 Workshop on Women in Machine learning, NeuRIPS https://docs.google.com …, 2021 | | 2021 |