Implementation of RNN architecture in an Aquaponic system. You may find the following files in the repository:
- Aquaponics data summary.pdf - Description of all sensors in the Aquaponics plant
- dataset_aquaponics_04012021_04302021.txt.zip - Raw dataset with sensor information from 01/04/2021 to 30/04/2021
- download_data_template.py - method to download data from the servers (you require credentials)
- notebook.ipynb - Jupyter notebook with the implementation of RNN models in Aquaponics
- synthetic_signal_notebook.ipynb - Jupyter notebook with the implementation of RNN models with dummy signals