
🌾 Agriculture · C4 Architecture · Pro
A platform farmers use to plan crops, record field work and inputs, and get advisory and market prices.
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Drawing diagram…
Farm management platform architecture: farmers use a vernacular mobile app (works offline); agronomists use a web console. Services: farm and plot registry with maps, crop planning and field activity logs (sowing, spraying, fertiliser), an advisory service using weather APIs and satellite NDVI imagery, and a market price service pulling mandi prices. Data in PostgreSQL with PostGIS.
C4Container
title Farm Management Platform
Person(farmer, "Farmer", "Plans and records farm work")
Person(agro, "Agronomist", "Gives advice")
System_Ext(weather, "Weather API", "Forecasts")
System_Ext(sat, "Satellite Imagery", "NDVI crop health")
System_Ext(mandi, "Mandi Price Feeds", "Market prices")
System_Boundary(fm, "Farm Platform") {
Container(app, "Farmer App", "Flutter", "Offline-first, local languages")
Container(console, "Agronomist Console", "React", "Advisories")
Container(plots, "Farm and Plot Registry", "Python", "Boundaries and crops")
Container(activity, "Activity Log", "Python", "Sowing, inputs, harvest")
Container(advisory, "Advisory Engine", "Python", "Crop and pest advice")
Container(prices, "Market Price Service", "Node.js", "Mandi rates")
ContainerDb(db, "Farm DB", "PostgreSQL + PostGIS", "Plots and activities")
}
Rel(farmer, app, "Uses")
Rel(agro, console, "Uses")
Rel(app, plots, "Maps plots")
Rel(app, activity, "Logs work")
Rel(weather, advisory, "Forecast")
Rel(sat, advisory, "Crop health")
Rel(advisory, app, "Pushes advice")
Rel(console, advisory, "Reviews")
Rel(mandi, prices, "Daily prices")
Rel(prices, app, "Shows prices")
Rel(plots, db, "Stores")Where each part of a precision farming system runs: soil and weather sensors in the field, a solar-powered LoRaWAN gateway, and cloud services for irrigation and advice.
How produce moves from the farm to the buyer: harvest, grading, collection centre, mandi or online market, and payment to the farmer.
How satellite and drone imagery plus field sensors become crop health alerts and advice for farmers.
The states of an automated drip irrigation controller: idle, scheduled watering, moisture-based watering, rain delay and fault handling.
How a farmer checks crop prices across nearby mandis and books a sale: live prices, transport cost, best net price and booking.
A schema for a farm management app: farmers, plots, crop cycles, inputs applied, activities and harvests.