| --- |
| license: mit |
| task_categories: |
| - time-series-forecasting |
| tags: |
| - nigeria |
| - agriculture |
| - food-systems |
| - synthetic |
| - weather-and-climate |
| size_categories: |
| - 100K<n<1M |
| data_type: synthetic |
| --- |
| |
| > ⚠️ **Synthetic dataset** — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference. |
|
|
| # Nigeria Agriculture – Farm Weather Stations |
|
|
| ## Dataset Description |
|
|
| Daily weather: temp, rainfall, humidity, wind, solar radiation. |
|
|
| **Category**: Weather & Climate |
| **Rows**: 150,000 |
| **Format**: CSV, Parquet |
| **License**: MIT |
| **Synthetic**: Yes (generated using reference data from FAO, NBS, NiMet, FMARD) |
|
|
| ## Dataset Structure |
|
|
| ### Schema |
|
|
| - **state**: string |
| - **date**: string |
| - **temp_c**: float |
| - **rainfall_mm**: float |
| - **humidity_pct**: float |
| - **wind_kmh**: float |
| - **solar_mj_m2**: float |
|
|
| ### Sample Data |
|
|
| ``` |
| | state | date | temp_c | rainfall_mm | humidity_pct | wind_kmh | solar_mj_m2 | |
| |:--------|:-----------|---------:|--------------:|---------------:|-----------:|--------------:| |
| | Rivers | 2022-09-26 | 24.9 | 9.5 | 92 | 12.2 | 16.7 | |
| | Ondo | 2022-08-05 | 24.5 | 15.8 | 61.2 | 3.6 | 20.5 | |
| | Yobe | 2023-10-30 | 29.2 | 2.1 | 80.4 | 1.7 | 23.1 | |
| | Oyo | 2023-03-26 | 27.6 | 1.2 | 60 | 3.4 | 17.9 | |
| | Ebonyi | 2024-08-09 | 27.9 | 1.8 | 66.8 | 9.7 | 19.5 | |
| ``` |
|
|
| ## 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 – Farm Weather Stations}, |
| author = {Electric Sheep Africa}, |
| year = {2025}, |
| publisher = {Hugging Face}, |
| url = {https://huggingface.co/datasets/electricsheepafrica/nigerian_agriculture_farm_weather_stations} |
| } |
| ``` |
|
|
| ## 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 |
| - 150,000 synthetic records |
| - Quality-assured using FAO/NBS/NiMet reference data |
|
|
