Smart Farm on Amazon Web Services

Publication date: October 24, 2022 (Diagram history)

This Connected Farm reference architecture enables sensors, computer vision, and edge inference in agriculture by focusing on ensuring scalability, elasticity, and a responsiveness for each operation’s growing and changing needs.

Smart Farm on Amazon Web Services Diagram

Reference Architecture Diagram

1. Third-party sensors or drones not using FreeRTOS send data through AWS Lambda for protocol conversion.

2. Sensors or cameras running FreeRTOS send data to AWS IoT Greengrass, providing protection from intermittent connectivity.

3. AWS IoT Greengrass streams enable ingestion from edge devices to Kinesis Data Streams.

4. Use real-time video via Amazon Kinesis Video Streams for streaming and replay of video content.

5. Derive real-time insights with Amazon Managed Service for Apache Flink and notify users via Amazon Simple Notification Service.

6. Enable analytics with OpenSearch and use Amazon Simple Storage Service for a data lake strategy.

7. Transfer owned data, like planting records or farm finances, securely into your data lake with AWS Direct Connect.

8. Securely consume data from a sensor ecosystem hosted on AWS with AWS PrivateLink.

9. Empower users with insights delivered via Amazon API Gateway or visualizations with QuickSight.

10. Build and deploy machine learning (ML) models for edge inference with Amazon SageMaker AI. Use Amazon SageMaker Ground Truth to manage data labeling workflow.

11. Each time a new file is written into Amazon S3, AWS Glue crawler crawls the data to infer the schema and make it available into the AWS Glue Data Catalog. Amazon Athena does on-demand querying.

12. Use a Lambda function that imports the AWS IoT Device Defender reports into AWS Security Hub to centralize incident response.

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Diagram history

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Change	Description	Date
Initial publication	Reference architecture diagram first published.	October 24, 2022

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