Agriculture · FPO procurement centres

AI-powered seed segmentation and classification

A mobile grading model that works offline in rural procurement centres, replacing manual seed inspection with consistent image-based classification.

How it works

4 steps, from input to result

01
Photograph the sample
Staff at the procurement centre take one photo of the seed on a phone.
02
Segment and classify
A lightweight model on the device separates each seed and grades it.
On-device
03
Grade to one standard
Size, shape and texture are checked against the same standard everywhere.
Offline
04
Central dashboard
Managers see grading across every centre, with a digital record of each decision.

Manual seed inspection was slow and prone to human error, producing inconsistent classifications between centres.
There was no digital record of grading decisions, so nothing could be audited afterwards.
Staff at rural procurement centres had limited technical expertise, ruling out anything complicated.

A lightweight AI model that runs on a mobile device, segmenting and classifying seeds from a photograph.
Quality assessed on visible characteristics — size, shape and texture — against a consistent standard.
Full offline operation, because connectivity at procurement centres cannot be assumed.
A centralised dashboard giving managers visibility across every centre.

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