Weatherbit Ag-Weather API
Agriculture · Weather & Environment
Weatherbit's Agricultural Weather API extends Weatherbit's core weather data service with specialized endpoints and parameters designed for precision agriculture and farm management applications. While Weatherbit's standard API provides temperature, rainfall, and wind data suitable for general weather applications, the agricultural endpoints deliver evapotranspiration calculations, soil temperature estimates, growing degree day accumulations, and agriculture-specific derived parameters that farm advisory systems, irrigation controllers, and crop models require.
Weatherbit Ag-Weather API Highlights
Weatherbit Ag-Weather API is verified for developer integrations in Nigeria and across African markets, providing documented endpoints, sandbox testing, and developer support.
API Key
Free: 500 calls/day; paid plans: higher limits
Nigeria
Ghana
Kenya
AWSWeatherbit Ag-Weather API is best for:
Agritech platforms needing agricultural weather data including evapotranspiration, soil temperature, and growing degree days
- Free:500 calls/day
- paid plans from $35/month with higher call limits and historical data
Weatherbit Ag-Weather API Core Features & Capabilities
Required Access Documents for Weatherbit Ag-Weather API
- API KeyRequiredAPI key from Weatherbit account required for all requests
Different Weatherbit Ag-Weather API use cases
- Irrigation Scheduling for Nigerian Farms:Nigerian agritech apps can use Weatherbit's evapotranspiration data to build irrigation scheduling tools that tell farmers exactly how much water their crops need based on current and forecasted weather conditions at their farm location.
- Planting Date Optimization:Nigerian agricultural advisory platforms can use growing degree day data from Weatherbit to calculate optimal planting dates and predict crop development stages for major Nigerian crops like maize, cassava, and sorghum.
- Disease Risk Forecasting:Nigerian crop protection services can combine Weatherbit humidity, temperature, and rainfall data to model disease risk conditions and alert farmers before high-risk periods for fungal and bacterial crop diseases.