Prawn Circular Economy: Data and Reproducibility Resources
Description
This dataset, organized under the folder “Prawn Circular Economy Project,” supports reproducible research on AI-based modeling of the prawn circular economy. It includes synthetic datasets (prawn_circular_economy_main.csv, prawn_waste_synthetic_data.csv), configuration files (morf_config.json), and the reproducibility script (prawn_morf_reproducibility.py). The dataset facilitates the analysis of multi-parameter aquaculture systems using a Multi-Output Random Forest framework to predict profit and harvest yield under diverse operational and environmental conditions.
Files
Steps to reproduce
1. Download all dataset files from this repository. 2. Install Python (≥3.9) and the required libraries 3. Open the script prawn_morf_reproducibility.py in any Python IDE (e.g., VS Code, Jupyter, or PyCharm). 4. Update file paths in the script if needed to match the downloaded dataset locations. 5.Run the script to reproduce the results of the Multi-Output Random Forest (MORF) model: a) The script automatically loads the CSV files. b) The configuration parameters are read from morf_config.json. c) The model trains and evaluates performance metrics for profit and harvest predictions. 6. Output files and plots (model accuracy, residuals, or feature importance) will be generated in the output directory. 7. Modify parameters in morf_config.json to test different feature combinations or model hyperparameters.