Under The Hood
Built for intelligence at scale, not demos.
A full technical breakdown of PreciAgro's intelligence stack from the input layer to the AI brain to the infrastructure that keeps it running.
Architecture
Four layers. One intelligence loop.
WhatsApp
Twilio API — photo, voice, text ingestion
Mobile App
React Native with camera + GPS integration
Web Dashboard
Next.js — multi-field management
SMS / USSD
Feature phone support, no internet required
PostGIS Geospatial
GPS-matched farm boundaries and soil zones
Open-Meteo Weather
Real-time + 7-day forecast at farm GPS
Soil Database
Regional soil type, pH, drainage profiles
Crop Stage Model
Growth stage inference from planting date + weather
Interaction History
Last 30 interactions from farm's history store
Claude Vision
Multimodal crop image + context reasoning
Agricultural Reasoning
Domain-specific prompting with agronomist logic
Confidence Scoring
Calibrated uncertainty quantification per diagnosis
Structured Output
JSON schema enforcement for consistent responses
PostgreSQL + PostGIS
Primary data store with geospatial extensions
Secure Media Pipeline
AES-256 encrypted image storage and processing
Anonymisation Pipeline
PII stripping for AI training data
99.5% Uptime Target
Multi-region failover architecture
Full Stack
Technology choices, explained.
AI & ML
- ·Claude Vision API
- ·Anthropic SDK
- ·Custom agricultural reasoning
Backend
- ·Next.js API Routes
- ·PostgreSQL
- ·PostGIS
- ·Prisma ORM
Data & Geo
- ·Open-Meteo Weather API
- ·PostGIS geospatial queries
- ·Regional soil databases
Messaging
- ·Twilio WhatsApp Business API
- ·Twilio SMS
- ·USSD gateway (planned)
Frontend
- ·Next.js 15
- ·React
- ·Tailwind CSS
- ·Framer Motion
Security
- ·TLS 1.3 in transit
- ·AES-256 at rest
- ·JWT auth
- ·Rate limiting
Security & Privacy
Farmer data is sacred. We engineer around that.
TLS 1.3 in transit
All data transmitted between farmer and server is encrypted.
AES-256 at rest
All stored data — images, messages, profiles — encrypted at rest.
Anonymisation pipeline
PII stripped before any AI training data pipeline.
Audit logging
Every data access logged. Regular security reviews.
Want the full technical picture?
We share detailed architecture documentation with investors and strategic partners under NDA.