A deep learning method for the long-term prediction of plant electrical signals under salt stress to identify salt tolerance

Citation

Please cite the following work if you find the data/code useful.

@article{yao2021,
  title={A deep learning method for the long-term prediction of plant electrical signals under salt stress to identify salt tolerance},
  author={Yang, Carl and Xiao, Yuxin and Zhang, Yu and Sun, Yizhou and Han, Jiawei},
  journal={COMPAG},
  year={2021}
}

Contact

Please contact us if you have problems with the data/code, and also if you think your work is relevant but missing from the survey.

Jiepeng Yao([email protected])

The dataset used by the model is in the datasets folder

Guideline

Stage 1: Installation package

pip3 install -r requirements.txt

Stage 2: Training

cd SLSTM-TCNN

# save model and result
mkdir model && mkdir result 

python3 pred_train.py

Stage 3: Predicting

Predict wave b

python3 pred_use.py

SCDM

python3 SCDM+SLSTM_TCNN.py

STCM

python3 STCM+SLSTM-TCNN.py