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🌾 Agriculture · Deployment · Pro

Precision Farming IoT Deployment

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.

More Agriculture templates

Deployment diagrams are part of Pro. Anyone can view this one; generating and editing it needs Pro.

Drawing diagram…

What this diagram shows

  • Low-power sensors talk to a LoRaWAN gateway over long range
  • The gateway reaches the cloud over 4G
  • Irrigation valves are controlled from the cloud rules engine

Prompt used

Deployment for precision farming: soil moisture sensors, a weather station and irrigation valve controllers in the field communicate over LoRaWAN with a solar-powered gateway, which connects over 4G to the cloud. In the cloud: a LoRaWAN network server, an IoT ingestion service, a time-series database, a rules engine that opens and closes valves, a crop advisory service using satellite imagery (NDVI), and a farmer mobile app with SMS alerts.

Mermaid code
flowchart TB
  subgraph Field[Farm Field]
    S1[Soil Moisture Sensors]
    WS[Weather Station]
    V[Irrigation Valve Controllers]
    GW[LoRaWAN Gateway - solar powered]
  end
  subgraph Cloud[Cloud Region]
    NS[LoRaWAN Network Server]
    ING[IoT Ingestion Service]
    TS[(Time-series DB)]
    RULES[Irrigation Rules Engine]
    ADV[Crop Advisory Service]
    SAT[(Satellite NDVI Imagery)]
    API[App API]
  end
  APP[Farmer Mobile App]
  S1 -.LoRa.-> GW
  WS -.LoRa.-> GW
  GW -->|4G| NS
  NS --> ING
  ING --> TS
  TS --> RULES
  RULES -->|Open / close| NS
  NS -.LoRa.-> V
  SAT --> ADV
  TS --> ADV
  ADV --> API
  API --> APP

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