IoT Smart Agriculture System Architecture

GENERALArchitectureintermediate
IoT Smart Agriculture System Architecture — GENERAL architecture diagram

About This Architecture

Smart agriculture system combining ESP32 microcontroller, environmental sensors, and cloud dashboards to automate irrigation and roof protection. Soil moisture, temperature, humidity, and rain sensors feed data to the ESP32, which controls a relay module and motor driver for the water pump and roof system via API Gateway. Real-time monitoring dashboards on mobile and laptop devices enable remote farm management and decision-making. This architecture demonstrates edge computing with cloud connectivity, reducing latency for critical irrigation triggers while maintaining centralized oversight. Fork and customize this diagram on Diagrams.so to adapt sensor types, add additional actuators, or integrate with your preferred IoT platform.

People also ask

How do I design an IoT smart agriculture system with sensors, microcontroller, and cloud monitoring?

This diagram shows a three-layer architecture: Field Layer with soil moisture, temperature, humidity, and rain sensors; Control Layer with ESP32 microcontroller managing relay and motor drivers; and Cloud/Presentation Layer with API Gateway and mobile/laptop dashboards. The ESP32 processes sensor data and triggers irrigation and roof protection automatically while syncing to cloud dashboards for r

IoTsmart agricultureESP32sensor integrationautomationedge computing
Domain:
Iot Pipeline
Audience:
IoT engineers and agricultural technologists designing smart farming automation systems

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About This Architecture

Smart agriculture system combining ESP32 microcontroller, environmental sensors, and cloud dashboards to automate irrigation and roof protection. Soil moisture, temperature, humidity, and rain sensors feed data to the ESP32, which controls a relay module and motor driver for the water pump and roof system via API Gateway. Real-time monitoring dashboards on mobile and laptop devices enable remote farm management and decision-making. This architecture demonstrates edge computing with cloud connectivity, reducing latency for critical irrigation triggers while maintaining centralized oversight. Fork and customize this diagram on Diagrams.so to adapt sensor types, add additional actuators, or integrate with your preferred IoT platform.

People also ask

How do I design an IoT smart agriculture system with sensors, microcontroller, and cloud monitoring?

This diagram shows a three-layer architecture: Field Layer with soil moisture, temperature, humidity, and rain sensors; Control Layer with ESP32 microcontroller managing relay and motor drivers; and Cloud/Presentation Layer with API Gateway and mobile/laptop dashboards. The ESP32 processes sensor data and triggers irrigation and roof protection automatically while syncing to cloud dashboards for r

IoT Smart Agriculture System Architecture

AutointermediateIoTsmart agricultureESP32sensor integrationautomationedge computing
Domain: Iot PipelineAudience: IoT engineers and agricultural technologists designing smart farming automation systems
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Created by

May 20, 2026

Updated

May 20, 2026 at 5:05 AM

Type

architecture

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