whale3il/nigerian_agriculture_soil_health_testing

Nigeria Agriculture – Soil Health Testing

Dataset Description

Soil test results: pH, NPK, organic matter, moisture, recommendations.

Category: Crop Production & Yields
Rows: 80,000
Format: CSV, Parquet
License: MIT
Synthetic: Yes (generated using reference data from FAO, NBS, NiMet, FMARD)

Dataset Structure

Schema

• farm_id: string
• state: string
• test_date: string
• ph: float
• nitrogen_ppm: float
• phosphorus_ppm: float
• potassium_ppm: float
• organic_matter_pct: float
• moisture_pct: float
• recommendation: string

Sample Data

| farm_id     | state   | test_date   |   ph |   nitrogen_ppm |   phosphorus_ppm |   potassium_ppm |   organic_matter_pct |   moisture_pct | recommendation             |
|:------------|:--------|:------------|-----:|---------------:|-----------------:|----------------:|---------------------:|---------------:|:---------------------------|
| FARM-035513 | Lagos   | 2024-12-26  | 5.63 |           33.4 |             22.5 |            86.5 |                 1.13 |           30.6 | Maintain current practices |
| FARM-040855 | Kebbi   | 2022-02-04  | 6.37 |           15.5 |             43.2 |           189   |                 2.54 |           13.2 | Maintain current practices |
| FARM-030826 | Kwara   | 2024-11-06  | 5.29 |           19.3 |             35.5 |           149.7 |                 3.09 |           24   | Apply lime to raise pH     |
| FARM-027792 | Ebonyi  | 2022-04-30  | 5.15 |           50.4 |             14.4 |           163.3 |                 2.1  |           14.7 | Apply lime to raise pH     |
| FARM-019148 | Ekiti   | 2022-07-11  | 4.41 |           17.6 |             22.9 |            54.7 |                 1.16 |           17.9 | Apply potassium fertilizer |

Data Generation Methodology

This dataset was synthetically generated using:

1. Reference Sources:

   • FAO (Food and Agriculture Organization) - crop yields, production data
   • NBS (National Bureau of Statistics, Nigeria) - farm characteristics, surveys
   • NiMet (Nigerian Meteorological Agency) - weather patterns
   • FMARD (Federal Ministry of Agriculture and Rural Development) - extension guides
   • IITA (International Institute of Tropical Agriculture) - agronomic research

2. Domain Constraints:

   • Crop calendars and phenology (planting/harvest windows)
   • Agro-ecological zone characteristics (Sahel, Sudan Savanna, Guinea Savanna, Rainforest)
   • Nigeria-specific realities (smallholder dominance, market dynamics, conflict zones)
   • Statistical distributions matching national agricultural patterns

3. Quality Assurance:

   • Distribution testing (KS test, chi-square)
   • Correlation validation (rainfall-yield, fertilizer-yield, yield-price)
   • Causal consistency (DAG-based generation)
   • Multi-scale coherence (farm → state aggregations)
   • Ethical considerations (representative, unbiased)

See QUALITY_ASSURANCE.md in the repository for full methodology.

Use Cases

• Machine Learning: Yield prediction, price forecasting, pest detection, supply chain optimization
• Policy Analysis: Agricultural program evaluation, subsidy impact assessment, food security planning
• Research: Climate-agriculture interactions, market dynamics, technology adoption patterns
• Education: Teaching agricultural economics, data science applications in agriculture

Limitations

• Synthetic data: While grounded in real distributions, individual records are not real observations
• Simplified dynamics: Some complex interactions (e.g., multi-generational pest populations) are simplified
• Temporal scope: Covers 2022-2025; may not reflect longer-term trends or future climate scenarios
• Spatial resolution: State/LGA level; does not capture micro-level heterogeneity within localities

Citation

If you use this dataset, please cite:

@dataset{nigeria_agriculture_2025,
  title = {Nigeria Agriculture – Soil Health Testing},
  author = {Electric Sheep Africa},
  year = {2025},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/electricsheepafrica/nigerian_agriculture_soil_health_testing}
}

Related Datasets

This dataset is part of the Nigeria Agriculture & Food Systems collection:

• https://huggingface.co/collections/electricsheepafrica/nigeria-agriculture-and-food-systems

Contact

For questions, feedback, or collaboration:

• Organization: Electric Sheep Africa
• Collection: Nigeria Agriculture & Food Systems
• Repository: https://github.com/electricsheepafrica/nigerian-datasets

Changelog

Version 1.0.0 (October 2025)

• Initial release
• 80,000 synthetic records
• Quality-assured using FAO/NBS/NiMet reference data