Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks to Guide Sustainable Crop Management

Cite

Text

Azmat et al. "Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks to Guide Sustainable Crop Management." International Joint Conference on Artificial Intelligence, 2023. doi:10.24963/IJCAI.2023/654

Markdown

[Azmat et al. "Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks to Guide Sustainable Crop Management." International Joint Conference on Artificial Intelligence, 2023.](https://mlanthology.org/ijcai/2023/azmat2023ijcai-forecasting/) doi:10.24963/IJCAI.2023/654

BibTeX

@inproceedings{azmat2023ijcai-forecasting,
  title     = {{Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks to Guide Sustainable Crop Management}},
  author    = {Azmat, Muneeza and Madondo, Malvern and Bawa, Arun and Dipietro, Kelsey and Horesh, Raya and Jacobs, Michael and Srinivasan, Raghavan and O'Donncha, Fearghal},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {5897-5905},
  doi       = {10.24963/IJCAI.2023/654},
  url       = {https://mlanthology.org/ijcai/2023/azmat2023ijcai-forecasting/}
}