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Artificial IntelligenceLiveCrop health analytics

Crop health analytics — Cumin

Satellite and drone imagery models for yield, stress and disease. Delivered for a cumin client in Junagadh.

Location
Junagadh
Year
2022
Duration
32 weeks
Team
12 engineers
Interactive 3D · drag to rotate
16%
yield uplift
80k
hectares
20k
farmers

The challenge

Data existed but lived in spreadsheets and legacy systems, so decisions were made on instinct rather than evidence.

What we built

Built in our Motera lab, validated on a replica rig, then commissioned on site in days using PyTorch and rasterio.

Delivery timeline

  1. Phase 1

    Discovery sprint and site survey

  2. Phase 2

    Prototype built and tested in the Motera lab

  3. Phase 3

    Pilot on site with before/after measurement

  4. Phase 4

    Scale-out, training and handover

Highlights

  • Documentation, drawings and source handed over at close
  • Before-and-after measurements agreed with the client up front
  • Designed, built and supported from Motera, Ahmedabad
  • Remote monitoring and over-the-air updates included

Have a problem that needs a machine built for it?

Tell us the constraint — line speed, accuracy, environment, deadline. An engineer will read it and reply with a straight answer, including when the answer is that you don't need us.

We reply to every enquiry within one business day.