Replacing a climate intelligence platform mid-season?

The platform stopped. The season didn't.

Picterra’s Insights Hub delivers plot-level weather, seasonal outlooks, and long-range climate projections, connected to the suppliers and volumes they actually affect. Configured to your origins in three to six weeks.

The challenge

From climate signals to production intelligence

Picterra provides climate and weather intelligence across multiple time horizons, then goes further by combining forecasts with observed conditions, plot-level context, and supply-chain data.

Now

Monitor current conditions

Weather and climate conditions, crop development, production risk

Daily field decisions

Next

Anticipate the season

Weather forecasts, seasonal outlooks, production and supply risk

Transplanting and land preparation timing

Future

Plan for a changing climate

Climate projections, crop suitability, future sourcing regions

Preparedness for extreme seasons

The solution

Weather and climate indicators

Picterra monitors a broad range of weather, agricultural, and climate indicators, translating them into crop-relevant risk signals across multiple forecasting horizons.

Core weather variables

  • Max, min, and mean temperature
  • Precipitation (sum, intensity, timing)
  • Relative humidity (mean)
  • Wind speed (mean)
  • Solar radiation (sum)
  • Soil temperature (mean)

Agricultural indicators

  • Evapotranspiration
  • Soil moisture and water balance deficit
  • Growing degree days
  • Frost-day count
  • Heat-stress day count
  • Dry-spell length, consecutive dry days
  • Precipitation anomaly relative to climatology

Risk indicators

  • Frost risk flag and score
  • Drought risk score
  • Heat stress risk
  • Extreme precipitation and flood risk
  • Production Risk Index (composite risk score)

Long-range climate projection

  • Temperature, rainfall, wind, and precipitation modelled under long-range climate scenarios
  • Climate-change scenarios
  • Agro-eco-climatic zone shifts
  • Historical records

Forecast horizon

  • Short-term: next 2 weeks
  • Medium-term: next month
  • Long-term: next 6 months

Spatial resolution

Plot-level. Native weather and climate data are downscaled to plot level using terrain and elevation correction and ML-based downscaling.

Alerts and outputs

Climate-driven production risk, forecasts, and alerts

Detect early, monitor continuously, and forecast future climate-driven risks affecting crop yields, production quality, and commodity supply. A fully configurable alerting system surfaces the signals that matter to your operations.

  • Production Risk Index and forecast
  • Extreme weather, frost, heat, and drought alerts
  • Crop stress and changing growing-conditions alerts
  • Commodity-specific health, disease, and infection risk modeling
  • Harvest timing and harvest window prediction
  • Delayed maturity alerts
  • Yield variability tracking
From climate intelligence to action

A forecast nobody acts on is not intelligence

Every provider draws on the same handful of global weather models and the same public data. The forecast is not the differentiator. Turning it into the right instruction, reaching the right person, on the right device, at the right moment is.

Central team

Full Insights Hub, all origins, all indicators

Origin or area manager

Their origin, their indicators, their suppliers

Agronomy technician

Their area of responsibility only, delivered as an alert rather than a dashboard they have to log into.

Picterra Insights Hub simplified logo

 Plot-level intelligence, connected to your supply chain

Commercial forecasts cover cities. Growing areas are often hours past the last town on the map. Picterra contextualizes weather and climate data down to individual plots and connects it to supplier and sourcing information, so teams move from country and regional averages to understanding which farms, suppliers, and volumes are exposed, and why.

Traceable, contextual intelligence

See exactly where climate risk sits and what it means for your supply chain. Trace every signal to its origin, understand it in crop and supply-chain context, compare exposure across geographies, and move beyond broad averages and Tier 1 visibility.

Reference datasets

We work from whatever geography you have: field polygons where they exist, representative GPS coordinates for a growing area where they do not, and municipality level where that is the right unit.

 Ask questions. Get answers.

Turn complex climate data into answers your teams can use. Ask about suppliers, origins, risks, and forecasts in plain language, then get answers and generate reports without having to build the analysis yourself.

Monitor today. Anticipate the season. Plan for tomorrow.

Frequently asked questions

Typically three to six weeks. That covers configuring your origins, selecting the indicators your teams use, setting alert thresholds by crop and region, and agreeing on how alerts reach the field. Most teams start with a handful of locations in one or two origins, prove it with the field teams who will use it, then expand origin by origin.

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