CRP
Field-centric weather, soil, and agronomy intelligence for Kenyan farms—built on BLCK's environmental network.
CRP turns the data flowing through BLCK's stations and gateways into decisions a farmer can act on. Create a field, and the platform discovers the nearby weather stations, pulls a soil profile, and generates crop-specific advisory based on the conditions actually happening on your land—not a regional forecast.
Hyperlocal Weather
CRP ingests live observations from WeatherXM stations across Kenya, with Open-Meteo as a fallback so coverage never drops. A 7-day hourly forecast pipeline keeps your field's outlook current, and historical observations are stored for accuracy verification.
Soil & Water Context
Soil profiles are fetched from iSDA and can be edited per field. ET0 and water-balance context inform irrigation decisions, and flood-risk warnings combine field flood-zone data with current forecast conditions.
AI Agronomy Advisory
For each field, CRP generates structured advisory from the active crop stage, soil profile, and recent and forecast weather. Cached and explainable—so you understand the recommendation, not just the output.
Built For Three Roles
Farmers manage fields and crops and receive advisory. Enthusiasts monitor assigned stations and export historical weather data. Operators tune source selection, station quality, retention, and forecast learning across the network.
Forecast Learning
CRP keeps forecast snapshots and verifies them against observations per H3 cell, so the accuracy of every prediction in your region is measurable—and improving over time.
Mobile-Ready
CRP ships with mobile auth endpoints for the Expo client, so the same data and advisory you see on the web is available in the field.
In development
Open Sensor Network Ingest
CRP is being extended to ingest data from any LoRaWAN network—Helium, The Things Network, private gateways—and other sensor networks beyond. Bring your own deployment; CRP becomes the dashboard, the history, and the advisory layer on top of it.