Field workflow

From visible crop damage to a practical next step in a few actions.

The farmer-facing workflow is designed to be simple enough for repeated field use while preserving confidence information and clear guidance.

Farmer using CropVox AI to scan a maize leaf
Example 01

Maize

A farmer sees feeding damage on a maize leaf and scans it with CropVox.

CropMaize
Likely issueFall armyworm damage
Confidence92%

Guidance remains available offline.

The device can explain the likely issue, show stored next-step guidance and speak it in a supported local language without mobile data.

Example 02

Cassava

A cassava leaf shows a mosaic-like pattern. The device captures the leaf and compares the visible pattern against the supported cassava model classes.

CropCassava
Likely issueCassava mosaic disease
SeverityModerate

If confidence is low, another image is requested.

CropVox can ask for a clearer leaf, another angle or another plant part before returning a likely diagnosis.

Farmer using CropVox AI to inspect cassava
Four steps

The field interaction stays simple.

Technical complexity remains behind the interface while the farmer sees a repeatable scan flow.

1

Frame

Point the camera at the affected plant part.

2

Scan

Press the physical scan button or on-screen control.

3

Review

See the likely issue, confidence and severity information.

4

Listen

Read or hear the stored field guidance in a supported language.