electricsheepafrica/nigerian_agriculture_fertilizer_pesticide_application

Nigeria Agriculture – Fertilizer & Pesticide Application

Dataset Description

Input applications: type, product, dosage, area, cost, method.

Category: Crop Production & Yields
Rows: 160,000
Format: CSV, Parquet
License: MIT
Synthetic: Yes (generated using reference data from FAO, NBS, NiMet, FMARD)

Dataset Structure

Schema

• farm_id: string
• application_date: string
• type: string
• product: string
• dosage_kg_ha: float
• area_ha: float
• cost_ngn: float
• method: string

Sample Data

| farm_id     | application_date   | type       | product      |   dosage_kg_ha |   area_ha |   cost_ngn | method       |
|:------------|:-------------------|:-----------|:-------------|---------------:|----------:|-----------:|:-------------|
| FARM-015547 | 2024-05-03         | fertilizer | Urea         |         119.49 |      2.04 |   59180.5  | spot         |
| FARM-000840 | 2023-02-27         | fertilizer | NPK_15_15_15 |         216.06 |      1.64 |   64055.5  | foliar_spray |
| FARM-046984 | 2024-07-26         | pesticide  | insecticide  |           0.63 |      1.21 |     921.72 | broadcast    |
| FARM-033224 | 2024-03-02         | pesticide  | herbicide    |           3.48 |      3.89 |   19773.8  | foliar_spray |
| FARM-009113 | 2023-06-27         | fertilizer | SSP          |          78.9  |      1.35 |   23314.8  | foliar_spray |

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 – Fertilizer & Pesticide Application},
  author = {Electric Sheep Africa},
  year = {2025},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/electricsheepafrica/nigerian_agriculture_fertilizer_pesticide_application}
}

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
• 160,000 synthetic records
• Quality-assured using FAO/NBS/NiMet reference data