AgriTechAI & MLDesign
Crop Health Vision Platform for an AgriTech Startup
A mobile-first computer vision tool that identifies crop disease from field photos — built to work on low-end devices and patchy networks.
- 92%
- disease detection accuracy
- 10x
- farms monitored per agronomist
- offline
- first field workflow
The challenge
Agronomists could physically inspect only a fraction of partner farms, and disease outbreaks were detected too late to contain.
Our solution
We trained detection models on region-specific crop imagery, compressed them for on-device inference, and designed a simple field app with offline capture and sync.
Ready to build something intelligent?
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