AI & LoRa-Based Microclimate Advisory for Smart Farming is a frontend prototype of a smart agriculture dashboard. It allows farmers to upload crop images for disease analysis, view simulated microclimate sensor data, and receive advisory suggestions through an interactive and user-friendly interface.
Frontend prototype of a smart farming web dashboard that combines AI disease prediction concepts and simulated LoRa microclimate monitoring into an interactive interface. This version focuses on UI/UX design and dashboard visualization for agricultural advisory systems.
This project presents a web interface designed for farmers to:
- Upload crop leaf images for disease analysis
- View simulated microclimate sensor readings
- Receive crop advisory suggestions
- Monitor environmental trends through charts
The system is designed as a frontend prototype demonstrating how AI-driven smart farming platforms can function in real-world scenarios.
Current Version: Frontend prototype (backend integration in progress)
✅ Smart farming dashboard UI
✅ Crop disease upload interface
✅ Simulated LoRa sensor data display
✅ Advisory recommendation panel
✅ Real-time chart visualization
✅ Clean and responsive design
✅ Farmer-friendly interface
- HTML
- CSS
- JavaScript
- Chart.js
- Dashboard Interface
- Disease Prediction Form (UI)
- Advisory Display Module
- Microclimate Sensor Visualization
- LOGIN & SIGNUP PAGE
MODULE 1 : DASHBOARD MODULE
MODULE 2 : AI ADVISORY FOR FARMERS
MODULE 3 : LoRa SENSOR DATA FORM
MODULE 4 : DISEASE PREDICTION MODULE
- Backend AI model integration
- Real LoRa sensor connectivity
- Cloud database support
- Mobile app version
- Voice advisory for farmers
- Deployment as a live web service
Ranhita B
Monisha V B
Keerthana S
Department of Information Technology
Panimalar Engineering College
This project demonstrates how smart interfaces can bridge the gap between farmers and digital agricultural technologies, enabling accessible and data-driven decision support.
This project is for academic and educational purposes.