https://github.com/lightbluetitan/agridatasets-py
The agridatasets package provides a curated collection of agricultural, agronomic, and livestock datasets for data analysis, statistical modeling, and machine learning research.
https://github.com/lightbluetitan/agridatasets-py
agriculture agriculture-data agriculture-datasets agridatasets data-science datasets dataviz developer pypi pypi-package python python-package
Last synced: 25 days ago
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The agridatasets package provides a curated collection of agricultural, agronomic, and livestock datasets for data analysis, statistical modeling, and machine learning research.
- Host: GitHub
- URL: https://github.com/lightbluetitan/agridatasets-py
- Owner: lightbluetitan
- License: mit
- Created: 2026-05-25T09:37:14.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2026-06-07T08:20:01.000Z (about 1 month ago)
- Last Synced: 2026-06-08T00:07:23.511Z (about 1 month ago)
- Topics: agriculture, agriculture-data, agriculture-datasets, agridatasets, data-science, datasets, dataviz, developer, pypi, pypi-package, python, python-package
- Language: Python
- Homepage: https://lightbluetitan.github.io/agridatasets-py/
- Size: 1.68 MB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
- Citation: CITATION.cff
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README
# agridatasets
[](https://opensource.org/licenses/MIT)
[](https://www.python.org/downloads/)
The `agridatasets` package provides a curated collection of agricultural, agronomic, and livestock
datasets for data analysis, statistical modeling, and machine learning research. Includes crop yield
trials, soil Munsell mineral classifications, field uniformity experiments, forestry genetics, plant
disease infestations, pesticide efficacy, biological pest controls, dairy cattle and broiler chicken
development tracking, and more from curated R packages on CRAN.
## Installation
You can install the `agridatasets` package from PyPI:
```bash
pip install agridatasets
```
## Usage
```python
import agridatasets as agd
# List all available datasets
datasets = agd.list_datasets()
print(datasets)
# Load a specific dataset
df = agd.load_dataset('bamboo_growth')
print(df.head())
# Describe dataset
df_01 = agd.describe('cows_insemination')
print(df_01)
```
## 📊 Some Available Datasets
| Dataset | Description |
|---------|-------------|
| `bamboo_growth` | Bamboo growth observations across different geographic locations and transects. |
| `cows_insemination` | Cow insemination and conception records across time intervals. |
| `earthworm_population` | Seasonal earthworm population data, including density and biomass measurements. |
| `earthworm_crop_soils` | Earthworm density and biomass data from cultivated soils under different crops. |
| `rabbit_body_mass` | Rabbit body weight and hind foot length measurements. |
> Run `agridatasets.list_datasets()` or `agd.list_datasets()` (using `agd` as alias) to see the full list of available datasets.
## Disclaimer
The datasets included in `agridatasets` are provided strictly for educational,
research, and informational purposes. All datasets originate from curated R packages
available on CRAN and retain their original licenses and attributions.
The author of `agridatasets` makes no warranties, express or implied, regarding
the accuracy, completeness, or suitability of any dataset for a particular purpose.
Users are solely responsible for ensuring that their use of these datasets complies
with applicable laws, regulations, and ethical guidelines.
Any findings, conclusions, or decisions derived from the use of these datasets
are the sole responsibility of the user. The author shall not be held liable for
any direct, indirect, incidental, or consequential damages arising from the use
or misuse of the datasets included in this library.
For agronomic advice, crop management, or any agriculture-related decision-making purposes,
always consult a qualified agricultural professional or agronomist.
## License
The `agridatasets` library is released under the **MIT License**, which allows free use,
modification, and distribution. See the [LICENSE](LICENSE) file for details.