PkgFoundry
Catalog PyPI
Back to packageRELEASE DETAILS

0.1.0

PyPI

agridatasets

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.

agriculturalagricultureagronomyanimalcolorcropdatadatasetsdesignentomologyexperimentalforestryhorticulturelatinlivestockmunsell
All keywords (30)
openpathologypesticidesplantplotresearchsciencesoilsplitsquarestatisticstrialsuniformyield
Published7 Jun 2026
Direct dependencies8
Transitive dependenciesNot calculated

README

Version 0.1.0 documentation

agridatasets

License: MIT Python 3.8+

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

DatasetDescription
bamboo_growthBamboo growth observations across different geographic locations and transects.
cows_inseminationCow insemination and conception records across time intervals.
earthworm_populationSeasonal earthworm population data, including density and biomass measurements.
earthworm_crop_soilsEarthworm density and biomass data from cultivated soils under different crops.
rabbit_body_massRabbit 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 file for details.

Downloads & popularity

Awaiting observations

No metric observations yet

Download counts and popularity will appear here as the collector receives them.

Declared dependencies 8

Native requirements
8 direct targetsNot calculated transitive count
Package / targetRequirementRelationship
pandas
Environment
{
  "extras": "",
  "marker": null,
  "requires_python": ">=3.8",
  "evaluation": "NOT_EVALUATED"
}
pandas<3.0,>=1.5runtime
pytest
Environment
{
  "extras": "",
  "marker": "extra == \"dev\"",
  "requires_python": ">=3.8",
  "evaluation": "NOT_EVALUATED"
}
pytest>=7.0; extra == "dev"runtime
pytest-cov
Environment
{
  "extras": "",
  "marker": "extra == \"dev\"",
  "requires_python": ">=3.8",
  "evaluation": "NOT_EVALUATED"
}
pytest-cov; extra == "dev"runtime
black
Environment
{
  "extras": "",
  "marker": "extra == \"dev\"",
  "requires_python": ">=3.8",
  "evaluation": "NOT_EVALUATED"
}
black; extra == "dev"runtime
flake8
Environment
{
  "extras": "",
  "marker": "extra == \"dev\"",
  "requires_python": ">=3.8",
  "evaluation": "NOT_EVALUATED"
}
flake8; extra == "dev"runtime
mypy
Environment
{
  "extras": "",
  "marker": "extra == \"dev\"",
  "requires_python": ">=3.8",
  "evaluation": "NOT_EVALUATED"
}
mypy; extra == "dev"runtime
mkdocs
Environment
{
  "extras": "",
  "marker": "extra == \"docs\"",
  "requires_python": ">=3.8",
  "evaluation": "NOT_EVALUATED"
}
mkdocs; extra == "docs"runtime
mkdocs-material
Environment
{
  "extras": "",
  "marker": "extra == \"docs\"",
  "requires_python": ">=3.8",
  "evaluation": "NOT_EVALUATED"
}
mkdocs-material; extra == "docs"runtime

Distribution files

2 collected
agridatasets-0.1.0-py3-none-any.whl

bdist_wheel · 119.84 KB · Python py3

Source file
agridatasets-0.1.0.tar.gz

sdist · 120.04 KB · Python source

Source file

Repository

PENDING
lightbluetitan/agridatasets-py

Shared repository data · GitHub

License detected in repository
Not collected

Metadata history

Meaningful changes
Current collected state Current

Observed since 21 Oct, 09:26 UTC

No superseded metadata states collected. Unchanged observations do not create new revisions.

Record identity

package_version:f3fb06962e89e4e40b411f140de937bd51019f65460a668782a38bf36309fc69

Other collected versions

View all collected versions →