Published December 5, 2022
| Version 1
Software
Open
Yield Prediction Through Integration of Genetic, Environment, and Management Data Through Deep Learning: Computational Artifacts
Description
The included files and script are to allow for reconstruction of the project structure and code used in "Yield Prediction Through Integration of Genetic, Environment, and Management Data Through Deep Learning" ( https://doi.org/10.1101/2022.07.29.502051 ). Data is included separately at 10.5281/zenodo.6916775.
| Filename | Description |
| .git.tar.gz | Zipped git history |
| .gitignore | |
| data.tar.gz | Placeholder. Data from 10.5281/zenodo.6916775 should be unzipped into this folder |
| models.tar.gz | Models training and hyperparameter optimization |
| notebooks.tar.gz | Notebooks (Jupyter and Rmd) for data cleaning and analysis |
| output.tar.gz | Placeholder. Figures and tables are written into this folder |
| README.md | High level project organization |
| SetupInstructions.sh | Helper script to unzip folders |
This work was supported through funding from the USDA Agricultural Research Service, ARS project number 5070-21000-041-000-D.
Files
README.md
Files
(3.9 GB)
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