Github Repo for Frontiers in Plant Science Article "StressNet: A spatial-spectral-temporal deformable attention-based framework for water stress classification in maize"
Article link: https://www.frontiersin.org/articles/10.3389/fpls.2023.1241921/full
Our experiments include days wise and channel wise analysis. The code has been tested with PyTorch and Anaconda.
- Python == 3.8.17
- PyTorch == 1.8.0
- TorchVision == 0.9.0
Overview of our proposed model:
If you find our code useful in your research, please consider citing:
@article{nampally2023stressnet,
title={StressNet: A Spatial-Spectral-Temporal Deformable Attention-based Framework for Water Stress Classification in Maize},
author={Nampally, Tejasri and Kumar, Kshitiz and Chatterjee, Soumyajit and Pachamuthu, Rajalakshmi and Naik, Balaji and Desai, Uday B},
journal={Frontiers in Plant Science},
volume={14},
pages={1241921},
year={2023},
publisher={Frontiers}
}