Predictive weather and yield insights for Rwanda's staple crops.
Rwandan crop farmers lack affordable, real-time localized platforms for market prices and weather data tailored to their crops.
FarmWeatherRW uses localized weather data and crop models to predict optimal planting/harvest windows and yield risks for maize, beans, potatoes. Farmers receive actionable alerts like 'Delay planting 2 days due to rain' via app and SMS. This reduces losses from weather mismatches, tailored exclusively for Rwandan districts.
Smallholder farmers and agribusinesses in Rwanda growing local crops like maize, beans, and potatoes
AI-driven yield predictions combining hyper-local weather with historical crop data—no generic forecasts.
supportive
Hyper-local 14-day forecasts for 30+ Rwandan districts.
Daily score (1-100) predicting crop yield impact from weather.
Personalized schedule based on weather and crop stage.
Push/SMS for frost, drought, excess rain risks.
Past weather vs yield trends for learning.
Basic crop health maps.
User-defined weather triggers.
Share forecasts with co-op members.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| district | text | No |
| crops | text[] | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| district | text | No |
| date | timestamp | No |
| temp_high | int | No |
| rain_prob | int | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| crop | text | No |
| district | text | No |
| risk_score | int | No |
| forecast_date | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| risk_type | text | No |
| threshold | int | No |
Relationships:
/api/forecastsFetch weather by district/date
/api/yield-riskGet risk scores for crop/district
/api/alertsSet user risk alerts
/api/calendarGenerate planting calendar
No alerts
3 districts
None
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 80 | 4% | $29 | $348 |
| Month 6 | 600 | 7% | $378 | $4,536 |
Get yield risk scores and planting advice to avoid weather losses on maize, beans, potatoes.
Partner with MINAGRI extension officers for intros to 10 demo farms in Southern Province, provide free access for testimonials, and use farmer co-op Facebook groups for virality.
Advanced models
Global, not crop-localized
$9 Rwanda crop focus with predictions
Research data
No real-time alerts, US-centric
Rwanda-specific SMS alerts
Accumulating hyper-local historical weather-crop data for improving AI models.
Climate change increasing weather volatility in East Africa; Rwanda gov subsidizing ag tech adoption.
AI model accuracy
Start with rules-based, iterate with user data
Seasonal usage
Year-round features like history
Data API costs
Cache aggressively
Success: 70% would pay $9
Success: 15% convert to paid
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