⌖
Guided crop scan
The camera workflow helps capture a useful view of leaves, stems or fruit before analysis begins.
Offline crop intelligence
AI - Crop disease diagnosis device
Works offline.
Point CropVox at an affected leaf, stem or fruit. The handheld device uses on-device computer vision to identify likely disease, pest damage, nutrient deficiency or visible crop stress, then gives practical guidance in a supported local language.
10 initial cropsOn-device inferenceLocal-language speech
Field use · maize
Likely issueFall armywormConfidence 92%
offline
No signal required for the core scan.The device keeps diagnosis, guidance, speech and scan history available locally.
What CropVox does
Everything needed for a useful first crop assessment.
The workflow stays simple enough for field use while preserving the information a farmer or extension worker needs to decide what to do next.
◎
Visual problem detection
Computer vision estimates the crop, visible problem category, likely condition and confidence.
✓
Structured guidance
Curated instructions explain immediate actions, monitoring steps and when expert review is appropriate.
↯
Offline operation
Core inference and the local guidance library are designed to run without a live cloud request.
◖
Spoken local language
Supported guidance can be read aloud so the device is useful beyond text-first interaction.
↻
Sync when connected
When a connection returns, scan records, model updates and difficult-case escalation can synchronize.
The main differentiatorNo network?
No network?
Keep scanning.
That is the point.
Many crop problems are discovered far from dependable mobile coverage. CropVox keeps the essential workflow on the device, so the farmer does not have to wait for a signal before getting a useful first assessment.
The hardware
A dedicated field device built around repeated scanning.
Camera, touchscreen, physical scan control, speaker, microphone, battery and embedded compute sit in one rugged body.
Front
Back
Side
Who it serves
View target market ↗One device can serve one farm or an entire local network.
Guidance at the moment a problem is noticed.
Useful where specialist support and dependable mobile data cannot be assumed.
A repeatable inspection workflow across many farms.
One device can move between farms while retaining structured scan records.
Shared crop-health access close to farmers.
Community diagnostic points can give many farmers access to the same hardware.
Responsible guidance
The device reports likelihood and confidence, not certainty.
CropVox is designed to present likely visual findings, confidence and alternative possibilities. Low-confidence cases can ask for another image or recommend expert review. Treatment guidance should remain curated and locally appropriate.
Read about the technical approach ↗CropVox AI
See it in the field