COMMERCIAL PRODUCT
AGRICULTURE / DECISION WORKSPACE
A connected toolkit for crop and season planning, weather-risk screening, irrigation budgets, damage evidence, and harvest coordination—grounded in clear inputs and honest data limits.
FROM SEASON TO WATER PLAN
Start with the decision in front of you. Each module explains the question it answers, the information it needs, and what still requires local validation—so teams know what to do next.
Choose a crop and season
→Screen upcoming weather stress
→Organise damage evidence
→Coordinate a suitable harvest window
→Audit irrigation and sensor health
THE CROP TOOLKIT
Open a module for its workflow, example scenarios, required inputs, API request, and capability boundaries.
01 / 05Compare crop profiles against season, temperature, rainfall, soil and terrain context. Rank plausible options, expose missing inputs and build a shortlist that can be validated locally.
Season · Temperature · Seasonal rainfall
02 / 05Explore heat, cold, heavy-rain, strong-wind and dry-soil scenarios. Every factor shows its value, threshold and severity so preparedness can be discussed with evidence.
Crop ID · Maximum temperature · Minimum temperature
03 / 05This capability is deliberately gated. See the evidence required for defensible parcel-level damage forecasting and how weather, imagery and field labels must work together.
Parcel boundary · Crop and stage · Pre-event imagery
04 / 05Screen up to 30 forecast days for rain and wind suitability while separating weather windows from member aggregation, storage and market logistics.
Daily forecast · Crop ID · Member inventory
05 / 05Designed for smart irrigation and commercial farm deployments. Reconstruct crop evapotranspiration demand, audit actual valve runtimes vs. budget, expose stale or missing root-zone sensors, and generate auditable water savings proof for farm owners.
Irrigation zones & area · Actual water applied (m³) · Soil moisture telemetry
CLEAR ABOUT THE DATA
Satellite and forecast products describe conditions at their own resolution and valid time. They can help teams spot patterns, compare scenarios, and prioritise checks.
Parcel boundaries, crop stage, soil measurements, irrigation, and ground-truth surveys are not inferred when they are missing. Review each module’s data gaps before using a result in the field.
Read the API documentation ↗