Farmers

Rice Yield

One photograph settles the variety — and tells the farmer how to grow it.

At a procurement centre, variety is called by eye. Graders disagree, a farmer has no way to contest the call, and declaring a cheaper grain as a premium one is a known route for money to leave procurement and export certification. A photograph makes the call consistent, and recorded.

Line drawing of a grain sample tray under a magnifier, alongside a growing-conditions card and soil strata with seedlings

Key Capabilities

Variety identified from a single photograph of the grain

Trained on seventy-five thousand labelled grain images

The same answer at every centre, every time

A recorded, timestamped result that makes a dispute resolvable

Confidence returned with the call, not just a label

Growing guidance for the identified variety from the same scan

Soil type, pH band, temperature range and expected yield

Runs on a small model — phone-grade hardware, no laboratory

Works without a network connection at the point of purchase

How It Works

1

Photograph

The grader photographs the grain sample

2

Identify

The variety comes back with a confidence figure

3

Record

The call is stored with its time, so it can be revisited

4

Advise

Soil, pH, temperature and yield for that variety

5

Escalate

A low-confidence sample goes to a human grader

Who It's For

Procurement Centres & Mandis

Agriculture Departments

Seed & Export Certification

Extension Services & KVKs

Food Distribution & Quality Assurance

Impact & Value

A variety call that does not vary between graders or centres
Disputes become resolvable, because there is a record
Screens for substitution in support-price procurement and export
Gives the farmer something back — the guidance, not just the grade
No laboratory, no reagents, no new equipment at the centre

What It Is Not

Trained on clean single-grain imagery; bulk and field photography is unproven
The trained varieties are not yet the Indian procurement basket
The growing guidance is a reference table, not a soil-test recommendation

Before a state deployment

Retraining on Sona Masoori, Ponni, Samba, IR-64 and Pusa Basmati comes first, then validation on photographs taken the way a grader actually takes them — uneven light, mixed samples, a phone in one hand. We would rather quote a lower number measured on real conditions than a high one measured in a studio.

Deployment Models

Mobile (Offline Capable)

On-Premise

Hybrid (State Data Centres)

Which varieties do you procure?

Tell us the varieties your centres actually handle and we can scope what retraining takes. A few hundred labelled photographs per variety is usually the starting point.

Contact Us All Projects