electricsheepafrica/nigerian_agriculture_animal_health_veterinary

Nigeria Agriculture – Animal Health & Veterinary

Dataset Description

Livestock disease outbreaks, affected counts, mortality, treatment.

Category: Livestock & Fisheries
Rows: 100,000
Format: CSV, Parquet
License: MIT
Synthetic: Yes (generated using reference data from FAO, NBS, NiMet, FMARD)

Dataset Structure

Schema

• farm_id: string
• incident_date: string
• animal_type: string
• disease: string
• affected_count: integer
• deaths: integer
• treatment: string
• state: string

Sample Data

| farm_id     | incident_date   | animal_type   | disease             |   affected_count |   deaths | treatment   | state    |
|:------------|:----------------|:--------------|:--------------------|-----------------:|---------:|:------------|:---------|
| FARM-000884 | 2022-08-15      | sheep         | PPR                 |              154 |       70 | vaccination | Adamawa  |
| FARM-041310 | 2022-10-29      | pigs          | african_swine_fever |               21 |       18 | antibiotics | Zamfara  |
| FARM-019851 | 2023-10-22      | pigs          | african_swine_fever |               82 |       75 | antibiotics | Nasarawa |
| FARM-024347 | 2023-03-13      | cattle        | FMD                 |               37 |        1 | antibiotics | Kwara    |
| FARM-006907 | 2024-01-08      | goats         | PPR                 |               13 |        2 | quarantine  | Abia     |

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 – Animal Health & Veterinary},
  author = {Electric Sheep Africa},
  year = {2025},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/electricsheepafrica/nigerian_agriculture_animal_health_veterinary}
}

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
• 100,000 synthetic records
• Quality-assured using FAO/NBS/NiMet reference data