AgriConnect: AI-Powered Price Intelligence & Precision Agriculture

AgriConnect is a premium, production-grade Web Application designed to empower farmers and agricultural buyers with real-time price intelligence, satellite crop telemetry, and transparent Peer-to-Peer (P2P) trading.

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Key Core Features

1. AG-3 Price Intelligence Engine

• Government API Integration: Connected directly to the Data.gov.in (Agmarknet) portal to sync real-time mandi prices daily.
• Modal Price Logic: Dynamically calculates the mathematical Modal Price (the most frequent listing rate) instead of basic averages to prevent statistical anomalies.
• SVG Pricing Gauge: Custom semi-circle vector graphic indicator rendering live price deviations inside Fair, Cautionary, or Exploitative zones.
• Automated Cron Jobs: Employs node-cron to execute daily automated market price fetches every midnight, with a fallback database simulation pipeline if API keys are missing.

2. 🛰️ Precision Agriculture & AI Recommendations

• Satellite NDVI Telemetry: Simulates Sentinel-2 L2A satellite bands (NIR and Red) to calculate the Normalized Difference Vegetation Index (NDVI) and provide targeted crop watering/health warnings.
• eNAM Supply Volume Analysis: Monitors trading arrival quantities from the National Agriculture Market (eNAM) to predict upcoming price shifts.
  • High supply arrivals → Generates warnings to sell inventory before price drops.
  • Low supply arrivals → Suggests holding stock to maximize profits as demand surges.

3. 🛒 P2P Buyer Commerce Hub

• Geographical Haversine Math: Automatically computes the physical P2P distance in kilometers between the buyer's coordinates and the farmer's mandi location.
• Trust Badging: Dynamically compares listing prices with active government modal prices to flag cards with a Verified Fair Price or Above Market Rate badge.
• Quick Contact Nodes: Seamlessly connects buyers and sellers using direct Call and WhatsApp communication links.

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🛠️ Tech Stack & System Architecture

graph TD
    A[React Frontend] -->|API Requests| B[Express Backend]
    B -->|Prisma Client| C[SQLite Database]
    B -->|Axios Daily Scraper| D[Data.gov.in / Agmarknet API]
    B -->|Telemetry Mock| E[Sentinel Hub NDVI]
    B -->|Cron Scheduler| F[node-cron]

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• Frontend: React (Vite), Recharts, TailwindCSS
• Backend: Node.js, Express, Prisma ORM
• Database: SQLite (Development) / MySQL (Ready)
• API Integrations: Data.gov.in (Agmarknet), eNAM Arrivals dataset, Sentinel NDVI Satellite telemetry

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⚙️ Environment Configuration

Create a .env file inside the backend/ directory:

DATABASE_URL="file:./dev.db"

# Official Government portal key generated from data.gov.in
DATA_GOV_API_KEY=your_gov_api_key_here
MARKET_DATA_RESOURCE_ID=9ef84268-d588-465a-a308-a864a43d0070

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🖥️ Getting Started

1. Database Setup

Navigate to the backend/ directory, install packages, and synchronize your Prisma schema:

cd backend
npm install
npx prisma db push

2. Launch the Backend Server

Start the backend Express server:

node server.js

Note: The server will automatically trigger an initial startup market data synchronization to fetch the latest Agmarknet daily price records.

3. Launch the Frontend Application

Navigate to the frontend/ directory, install dependencies, and start the development server:

cd ../frontend
npm install
npm start

Open http://localhost:3000 to view the application.

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🔌 API Reference Endpoints

Endpoint	Method	Description
/api/market/update-prices	GET	Manually triggers the Data.gov.in Agmarknet prices fetcher
/api/market/daily-prices	GET	Retrieves the latest 30 daily Mandi price records
/api/market/recommendation/:farmerId	GET	Computes AI crop suggestions based on eNAM volume levels
/api/market/satellite-ndvi	GET	Returns Sentinel-2 simulated vegetation density metrics
/api/products/all	GET	Fetches active crop listings with buyer-to-farmer distance calculations