Yield AI

The AI-powered CRM for agribusinesses

Every field, every probe, one clear next step.

Yield AI turns soil-probe readings from farms across northern Qatar into salinity and moisture maps, risk scores and plain-language actions — grounded in FAO-56 and FAO-29 science.

Open Dashboard Try the demo
  • 8 demo farms, 60 days of readings
  • Salinity, moisture, pH, temperature, NPK
  • Works offline with a built-in agronomy engine
  • Open source and free, including the model

Farm map

Pins are coloured by soil salinity (ECe). Click a farm for its risk and top insight.

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Click a farm
Salinity (ECe)dS/m
24816

6.6 dS/m · Moderately saline at Al Shamal Greenhouses

Al Shamal Greenhouses

Cucumber · 27.7 ha · Al Shamal · ECe 6.6 dS/m

High risk· 97

Salt in the soil rose from 4.5 to 6.6 dS/m in 30 days (+47%), above the 2.5 dS/m cucumber limit, so about 54% of the yield is at risk (moderately saline soil). Saltiest spot: SG-06 in the north-west, at 8.0 dS/m.

Next step: Apply a leaching irrigation (+26% water)

Open in dashboard

Try it on demo data

The same map, charts and assistant as the dashboard — here for Al Shamal Greenhouses.

Soil trends

30 days of probe readings, with the FAO class bands and crop threshold.

4.6 dS/m → 6.6 dS/m+45%

Farm meanProbe min–maxCucumber threshold 2.5 dS/m

Ask the agronomist

Pick a question — the answer quotes this farm’s own readings.

Pick a question about Al Shamal Greenhouses — answers quote its probe readings.

Ask your own questions in the dashboard

How it works

  1. Step 1

    Probe

    In-field probes log soil salinity (EC), moisture, pH, temperature and NPK every three hours.

  2. Step 2

    Map

    Readings are interpolated across each field (IDW on 5 m cells), so hotspots stand out at a glance.

  3. Step 3

    AI insight

    FAO-56 water balance and FAO-29 salinity models score each farm’s risk and explain the cause.

  4. Step 4

    Action

    Clear next steps: how much to irrigate, when to leach salts, and what to plant next season.