agridatasets

agridatasets

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:

pip install agridatasets

Usage

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

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 file for details.