Build smart agriculture with AWS IoT Greengrass and Strands Agents

This article demonstrates deploying Strands Agents as AWS IoT Greengrass components on a Raspberry Pi 5 to build an edge AI system for smart agriculture monitoring.

• Run AI agents directly on edge devices to read sensors, capture camera images, and analyze plant health without cloud round-trips
• Three specialized sub-agents handle device health monitoring, plant image analysis via Amazon Bedrock, and soil moisture sensing
• Local web dashboard provides chat interface and live MJPEG camera feed for user interaction
• Greengrass manages component lifecycle, over-the-air updates, and credential management through Token Exchange Service
• Solution supports offline resilience with local MQTT message queuing and sensor data buffering
• Deployment options include automated script or step-by-step manual setup with CloudFormation and AWS CLI
• Security best practices include least-privilege IAM roles, MQTT message validation, and device hardening

Edge AI architecture enables reduced latency, managed deployment, flexible model selection, and cost efficiency for agricultural monitoring at scale.