| --- |
| license: cc-by-4.0 |
| task_categories: |
| - tabular-classification |
| - tabular-regression |
| language: |
| - en |
| tags: |
| - agriculture |
| - africa |
| - synthetic-data |
| - sub-saharan-africa |
| - irrigation |
| - water-management |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # Irrigation Access and Efficiency - Sub-Saharan Africa |
|
|
| Synthetic dataset capturing irrigation infrastructure, access, and water use efficiency among smallholder farmers. Covers irrigation types, water sources, costs, and productivity impacts across diverse farming systems. |
|
|
| ## Dataset Statistics |
|
|
| | Scenario | Records | |
| |----------|---------| |
| | Low Burden | 4,000 | |
| | Moderate Burden | 5,000 | |
| | High Burden | 6,000 | |
| | **Total** | **15,000** | |
|
|
| **Key Metrics:** |
| - 10 countries with varying irrigation rates |
| - Years: 2018-2025 |
| - 55 columns covering infrastructure, efficiency, and economics |
| - Irrigated cropland: 3-6% of total |
| - Water use efficiency: 30-50% below potential |
|
|
| ## Column Descriptions |
|
|
| | Column | Description | |
| |--------|-------------| |
| | `record_id` | Unique record identifier | |
| | `irrigation_id` | Unique irrigation record identifier | |
| | `country` | Country name | |
| | `year` | Year of record | |
| | `farm_size_ha` | Farm size in hectares | |
| | `farm_type` | Farm classification | |
| | `has_irrigation` | Has irrigation (boolean) | |
| | `annual_rainfall_mm` | Annual rainfall (mm) | |
| | `rainfall_variability_pct` | Rainfall variability (%) | |
| | `drought_frequency` | Drought frequency | |
| | `water_stress_months` | Water stress months per year | |
| | `irrigation_type` | Irrigation system type | |
| | `water_source` | Water source | |
| | `energy_source` | Energy source for pumping | |
| | `ownership` | Ownership type | |
| | `area_irrigated_ha` | Area irrigated (ha) | |
| | `rainfed_area_ha` | Rainfed area (ha) | |
| | `irrigation_pct` | Percentage of farm irrigated | |
| | `irrigation_capacity_m3_day` | System capacity (m³/day) | |
| | `system_age_years` | System age (years) | |
| | `system_condition` | System condition | |
| | `installation_cost_usd` | Installation cost (USD) | |
| | `annual_maintenance_usd` | Annual maintenance (USD) | |
| | `subsidy_received` | Subsidy received (boolean) | |
| | `subsidy_amount_usd` | Subsidy amount (USD) | |
| | `financing_access` | Financing access (boolean) | |
| | `water_applied_mm` | Water applied (mm) | |
| | `crop_water_requirement_mm` | Crop water requirement (mm) | |
| | `application_efficiency_pct` | Application efficiency (%) | |
| | `effective_water_mm` | Effective water (mm) | |
| | `water_productivity_kg_m3` | Water productivity (kg/m³) | |
| | `conveyance_efficiency_pct` | Conveyance efficiency (%) | |
| | `distribution_uniformity_pct` | Distribution uniformity (%) | |
| | `irrigation_efficiency_index` | Overall efficiency index | |
| | `energy_cost_usd_season` | Energy cost per season (USD) | |
| | `labor_hours_season` | Labor hours per season | |
| | `irrigation_frequency` | Irrigation frequency | |
| | `scheduling_method` | Scheduling method | |
| | `primary_crop` | Primary irrigated crop | |
| | `yield_increase_pct` | Yield increase (%) | |
| | `cropping_intensity` | Cropping intensity | |
| | `seasons_irrigated` | Seasons irrigated per year | |
| | `total_water_use_m3` | Total water use (m³) | |
| | `water_withdrawal_m3_ha` | Water withdrawal (m³/ha) | |
| | `water_user_association` | WUA member (boolean) | |
| | `permit_obtained` | Water permit obtained (boolean) | |
| | `water_conflicts` | Water conflicts (boolean) | |
| | `groundwater_depth_m` | Groundwater depth (m) | |
| | `pump_capacity_hp` | Pump capacity (HP) | |
| | `maintenance_quality` | Maintenance quality | |
| | `technology_level` | Technology level | |
| | `technical_support` | Technical support (boolean) | |
| | `water_scarcity_impact` | Water scarcity impact (boolean) | |
| | `expansion_potential` | Expansion potential (boolean) | |
| | `investment_return_years` | Investment return period (years) | |
| | `irrigation_category` | Irrigation category | |
| | `scenario` | Burden scenario | |
|
|
| ## Usage Example |
|
|
| ```python |
| import pandas as pd |
| |
| # Load the dataset |
| df = pd.read_csv('irrigation_access_efficiency_africa_moderate_burden.csv') |
| |
| # Irrigation access by country |
| access = df.groupby('country')['has_irrigation'].mean() * 100 |
| print(f"Irrigation access by country:\n{access}") |
| |
| # Efficiency by irrigation type |
| efficiency = df[df['has_irrigation']].groupby('irrigation_type')['irrigation_efficiency_index'].mean() |
| print(efficiency) |
| |
| # Compare yields: irrigated vs rainfed |
| yield_comparison = df.groupby('has_irrigation')['yield_increase_pct'].mean() |
| print(yield_comparison) |
| ``` |
|
|
| ## Research Sources |
|
|
| - FAO 2024: Only 3-6% of cropland under irrigation in SSA |
| - World Bank 2023: Water use efficiency 30-50% below potential |
| - IWMI 2023: Small-scale irrigation expanding 2-3% annually |
| - AfDB 2023: Irrigation potential utilization 20-40% |
| - AGRA 2023: Solar-powered irrigation growing 15% annually |
|
|
| **Author:** Electric Sheep Africa |
|
|
