Backend Integration
SmartAgroNet is structured for clean Raspberry Pi to Laravel API communication
This page presents how your edge devices can send sensor values, images, and automation events to an external backend that handles storage, analysis, and smart actions.
Typical API responsibilities
- Receive crop images from the Pi camera module
- Store soil, water, and weather readings
- Maintain farm, device, and land mappings
- Run AI and rule-based analysis workflows
- Return irrigation or alert recommendations
- Expose dashboard and report endpoints
Payload examples
Suggested payload structure:
- device_id, land_id, timestamp
- temperature, humidity, soil_moisture
- npk values and water level data
- image path or multipart upload file
- alert_type, severity, automation_status
Integration Note
Built to match your external automation vision
Because your plan is to keep Raspberry Pi focused on field data collection while Laravel manages automation and AI, this website positions SmartAgroNet clearly as a cloud-connected smart farming platform rather than only a hardware project.