Crop health analytics — Groundnut
Satellite and drone imagery models for yield, stress and disease. Delivered for a groundnut client in Surat.
- Location
- Surat
- Year
- 2020
- Duration
- 29 weeks
- Team
- 7 engineers
- 9%
- yield uplift
- 110k
- hectares
- 2k
- farmers
The challenge
Leadership wanted measurable results inside one quarter, with no disruption to running operations.
What we built
We owned the whole stack — hardware, firmware, models and dashboards — using PyTorch, GDAL, rasterio so there was one accountable team.
Delivery timeline
Phase 1
Discovery sprint and site survey
Phase 2
Prototype built and tested in the Motera lab
Phase 3
Pilot on site with before/after measurement
Phase 4
Scale-out, training and handover
Highlights
- Operator training delivered in Gujarati, Hindi and English
- Integrated with existing PLC, ERP or GIS systems — no rip-and-replace
- Before-and-after measurements agreed with the client up front
- Remote monitoring and over-the-air updates included
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