Vision diagnostics

Plant health, scored continuously — not checked once a day.

Real computer vision on the cameras you already own. One calibrated profile per crop type, improving on your own facility's accumulating labelled data.

What the vision layer reads

Health scoring

Every zone scored 0–100 from leaf colour, texture, canopy density and growth rate.

Stress detection

Wilting, curling, chlorosis and necrosis flagged the moment the pattern appears.

Growth staging

Automatic stage detection so advice and feeding match where the crop actually is.

Pest & disease signals

Early visual markers surfaced for review before they spread down a rack.

Canopy uniformity

Underperforming trays and corners identified inside an otherwise healthy zone.

Harvest readiness

Projected harvest windows per zone so packing and labour can be planned ahead.

Two capture routes, one pipeline

  1. 01

    Live camera feeds

    Continuous analysis on connected RTSP and IP cameras, day and night.

  2. 02

    Mobile photo capture

    Scheduled or ad-hoc phone photos for zones without fixed cameras — captured offline, queued for upload.

  3. 03

    Historical import

    Back-populate archive footage so the model calibrates to your facility faster.

Why it matters

Reduce crop loss

Visual trends become interventions before they compound across a zone.

Reduce labour

No added headcount for walk-throughs — the cameras never skip a zone.

Zero new hardware

Works with the cameras you already own, so there is no capital project to approve.

Watch every zone without walking every zone.

See vision diagnostics running on your own crop, in your own facility.