Plant Disease Detection
Use camera modules and image processing pipelines to capture crop images, upload them at scheduled intervals, and run AI inference through your external Laravel API.
AI + IoT Agriculture Platform
Build smarter farms with real-time intelligence, automation, and connected devices.
SmartAgroNet helps farmers, schools, agri-tech startups, and institutions monitor crops, soil, water, weather, and irrigation through Raspberry Pi devices, sensor networks, camera-based detection, and a centralized analytics dashboard.
Raspberry Pi Integration
AI Disease Detection
Laravel API Ready
Smart Irrigation
5+
Core agriculture modules
24/7
Environmental monitoring
Cloud
Centralized API and dashboard
Platform Highlights
Everything needed for a modern smart agriculture system
The website structure is built to present SmartAgroNet as a complete agri-intelligence platform for pilot projects, school demonstrations, institutional proposals, and future commercial deployment.
Smart Irrigation Control
Automate irrigation schedules using soil moisture values, weather conditions, tank availability, and threshold-based rules from your backend.
Weather Monitoring
Track temperature, humidity, rainfall, and ambient conditions to predict farm changes and improve daily field decisions.
Analytics Dashboard
Bring together device telemetry, sensor history, alerts, and health trends inside a single dashboard for quick decisions and reporting.
Why SmartAgroNet
Designed for connected agriculture and real-world field automation
SmartAgroNet is structured around an edge-to-cloud model. Raspberry Pi nodes collect sensor data locally, trigger automation if needed, and securely send data to the backend for storage, AI analysis, and decision support.
- Supports multi-land and multi-device deployment architecture
- Works with camera, soil, water, and weather sensors
- Ideal for smart irrigation, borewell monitoring, and research pilots
- Built for integration with Laravel APIs and future mobile apps
Core Flow
1
Capture
Sensor values and farm images are collected from Raspberry Pi devices on schedule.
2
Transfer
Collected data is sent to your external API through secure HTTP requests and structured payloads.
3
Analyze
Backend services process crop health, irrigation conditions, alerts, and analytics trends.
4
Act
Automation rules can switch relays, trigger alerts, or recommend actions for farmers and supervisors.
Website Sections Included
Ready-made pages for presentation, proposals, and product showcase
The site includes About, Technology, Modules, Dashboard, API, and Contact pages, all linked properly and styled using your logo color palette.