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PS 26197SOFTWAREAgriculture, FoodTech & Rural DevelopmentFast Prototype (36h)

Student Innovation

AICTE• AICTE, MIC-Student Innovation
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30-Second Plain English Summary

AICTE Open Innovation: Agriculture & Rural Development (Software) — Smallholder farmers in India suffer from low yields and unseasonal weather losses due to lack of hyper-local precision farming advice, fragmented supply chains, and opaque mandi pricing. Build an AI-Driven Precision Agritech, Soil Health, and Smart Sowing Intelligence Platform that combines satellite vegetation indices (Sentinel-2 NDVI/NDRE), IoT soil moisture telemetry, AI crop disease diagnostics, and dynamic mandi price forecasting into a unified vernacular farming companion.

5-Dimension Strategic ScorecardOverall Score: 3.6 / 5.0
Innovation
3.5 / 5
36h Feasibility
4.3 / 5
Uniqueness
3.4 / 5
Jury Appeal
3.7 / 5
Tech Depth
3.2 / 5
Recommended System Architecture Pipeline
Farm GPS Coordinates -> Sentinel-2 Satellite NDVI Pipeline -> FAO-56 Irrigation & Agronomy AI -> Vernacular Voice Synthesizer -> Farmer Super-App
Recommended Tech StackClick to search similar
Official Government Problem Description
Developing solutions, keeping in mind the need to enhance the primary sector of India - Agriculture and to manage and process our agriculture produce.
AI & PPT Citation Format

Smart India Hackathon 2026 Problem Statement PS-26197: "Student Innovation", Ministry: AICTE. Strategy & Architecture via SIH ONE (https://sihone.pages.dev/ps/26197)

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