Crop health analytics — Cotton

The challenge

Conditions on site — heat, dust, vibration and patchy connectivity — had defeated two earlier attempts at this in cotton.

What we built

A phased rollout: a measured pilot first, then scale-out. The core runs on PyTorch with GDAL, integrated into existing systems through Flutter.

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

• Remote monitoring and over-the-air updates included
• Operator training delivered in Gujarati, Hindi and English
• Before-and-after measurements agreed with the client up front
• Runs on-premises; no data leaves the site unless agreed