Williedaanalyst/nigerian_agriculture_dairy_poultry_production

---
license: mit
task_categories:
- tabular-regression
tags:
- nigeria
- agriculture
- food-systems
- synthetic
- livestock-and-fisheries
size_categories:
- 100K<n<1M
---

# Nigeria Agriculture – Dairy & Poultry Production

## Dataset Description

Milk yield, egg production, feed consumption by farm.

**Category**: Livestock & Fisheries
**Rows**: 110,000
**Format**: CSV, Parquet
**License**: MIT
**Synthetic**: Yes (generated using reference data from FAO, NBS, NiMet, FMARD)

## Dataset Structure

### Schema

- **farm_id**: string
- **date**: string
- **production_type**: string
- **milk_liters**: float
- **eggs_count**: integer
- **feed_kg**: float
- **state**: string

### Sample Data

```
| farm_id | date | production_type | milk_liters | eggs_count | feed_kg | state |
|:------------|:-----------|:------------------|--------------:|-------------:|----------:|:--------|
| FARM-023974 | 2025-02-26 | poultry | 0 | 278 | 31.8 | Zamfara |
| FARM-041646 | 2023-11-28 | poultry | 0 | 220 | 52.6 | Ekiti |
| FARM-007789 | 2022-12-21 | dairy | 15.6 | 0 | 36.3 | Rivers |
| FARM-013225 | 2023-12-20 | poultry | 0 | 265 | 57.7 | Kaduna |
| FARM-018827 | 2023-11-04 | poultry | 0 | 289 | 19.5 | Bayelsa |
```

## 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:

```bibtex
@dataset{nigeria_agriculture_2025,
title = {Nigeria Agriculture – Dairy & Poultry Production},
author = {Electric Sheep Africa},
year = {2025},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/electricsheepafrica/nigerian_agriculture_dairy_poultry_production}
}
```

## 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
- 110,000 synthetic records
- Quality-assured using FAO/NBS/NiMet reference data