Seven current parameters, transferred through BLE.
Skip to page contentAgniReadings enter MeghaContext is organized Saathi AIGuidance is communicated
AI and cloud intelligence layer
What is Megha?
Megha is the AI and cloud intelligence layer in the Mitti-AI ecosystem. Agni collects soil readings, Saathi AI provides the farmer-facing experience, and Megha helps translate the data into localized agricultural guidance.
The intelligence layer
Megha sits between a reading and an explanation
It does not turn an inference into a sensor result. Its role is to help contextualize and communicate.
The AI and cloud layer supports localized intelligence.
The farmer-facing platform presents the output.
Location contextRelevant place and farming conditions
Crop contextCrop, variety and growth stage when known
Source contextClear separation between evidence and inference
Role in the ecosystem
- Accept structured soil readings from the Saathi AI workflow.
- Use contextual information available to the product to frame guidance.
- Present explanations in supported languages for the farmer-facing application.
- Keep advisory logic separate from the physical sensor and user interface layers.
Responsible advisory
Agricultural advice is context-sensitive. Megha outputs should not be treated as universal fertilizer prescriptions or as a substitute for site-specific professional advice. High-impact recommendations require appropriate safeguards, source review and escalation paths.