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System architecture

How the Mitti-AI ecosystem works

Mitti-AI connects three distinct layers: Agni is the portable soil scanner, Saathi AI is the farmer-facing platform, and Megha is the AI and cloud intelligence layer. Keeping these names and roles separate makes the system easier to understand and evaluate.

System architecture

Four layers, one traceable path

The architecture keeps measurement, transfer, interpretation and communication distinct.

L1
Sensing

Agni

Seven current soil readings

L2
Short-range transfer

BLE

Device-to-platform data flow

L3
Intelligence

Megha

AI and cloud context layer

L4
Experience

Saathi AI

Farmer-facing web and mobile platform

Inspect the flow

Technical notes without hiding the boundaries

011. Measure with Agni

Agni measures pH, electrical conductivity, nitrogen, phosphorus, potassium, moisture and temperature in approximately 45 seconds without chemical reagents.

022. Transfer with BLE

The scanner sends the resulting readings to Saathi AI through Bluetooth Low Energy. BLE supports direct short-range communication between the device and a compatible phone or computer.

033. Interpret through Megha

Megha helps transform the readings into localized, multilingual guidance. The advice should be reviewed in the context of crop, season, soil type, field history and local agronomic recommendations.