CropYield demo

Irrigate against conditions, not a calendar

Produce irrigation recommendations from measured conditions with the basis shown.

Try CropYield
3 minute walkthrough

The challenge

Irrigation runs on a schedule set at the start of the season and rarely revisited.

The scenario

Conditions have diverged from the plan and the grower needs to know what the block actually needs this week.

What goes in

Field conditions
Moisture, weather and crop stage.

What you can ask

Illustrative prompts. Results depend on your own data and are not deterministic.

  • How much irrigation does this block need this week?
  • What is that based on?
  • What if the forecast rain does not arrive?

How Clearception approaches it

How the work is structured. Each step shows what its output is grounded in.

  1. Read conditions

    Observed

    Take measured moisture, weather and stage.

  2. Model requirement

    Estimate

    Estimate the water requirement for the period.

  3. Recommend with basis

    Recommendation

    State the recommendation and what it rests on.

What you get

The shape of what comes back — not a promised result.

  • Irrigation recommendation

    Recommendation

    Volume and timing with the conditions and assumptions behind them.

Why it matters

Water follows need
Application responds to conditions rather than the calendar.

CropYield

Diagnose a problem from field imagery

Assess crop imagery and get a diagnosis with the frame and confidence attached.

3 minute walkthrough

  • Change Detection
  • Evidence Trail
  • Confidence Ceilings

Earth Intelligence

Detect what changed against a baseline

Compare observations over time and report change with the frames behind each finding.

4 minute walkthrough

  • Change Detection
  • Evidence Trail
  • Confidence Ceilings

Want to try this with your own work?

Open CropYield and bring your own data. No signup is needed to read these demos.