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Smart Agriculture Management Dashboard
NamasteDev
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0 Likes
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medium
An AI-integrated smart agriculture dashboard forfarmers, agronomists, and farm managers.
Domains
agriculture
Technologies
web
ai
react
reactNative
nodejs
Project Details
π οΈ Tech Stack
- Frontend: React.js (Hooks + Components)
- Backend: Node.js + Express.js
- Styling: Tailwind CSS / ShadCN UI
- Routing: React Router
- State Management: Redux Toolkit / Context API
- Authentication: Firebase / JWT + Passport.js
- Database: MongoDB / PostgreSQL
- Maps & Sensors: Leaflet.js, Mapbox, IoT Integration (mocked or real-time MQTT broker)
- AI Tools: OpenAI API, TensorFlow.js, Hugging Face for crop & soil predictions
- Cloud Storage: Cloudinary / Firebase Storage
- Visualization: Chart.js / Recharts
π― Project Overview
An AI-integrated smart agriculture dashboard where farmers, agronomists, and farm managers can:
- Monitor crop status and farm productivity
- Visualize sensor and weather data
- Get AI-based crop suggestions
- Track livestock and machinery
- View market prices and sell produce
It combines real-time data, analytics, and agricultural intelligence into a responsive web app.
β Core Features
π Crop Dashboard
- Monitor planted crops by type, location, and growth stage
- Soil health and pH level visualization
- Water needs forecast based on weather data
π§ AI Recommendations
- Suggest best crops based on soil + weather conditions
- Pest detection via image upload (OpenAI Vision / TensorFlow.js)
- AI-powered fertilizer planner based on season
π Farm Mapping
- Map view of plots, irrigation points, and sensors
- Click on plot to view details (crop, health, tasks)
- Satellite view support (Mapbox / Leaflet)
π Livestock Tracker (Optional)
- Add livestock with tag, age, health records
- Feed & health schedule reminders
- Track weight gain/progress
π οΈ Machinery Maintenance
- Add farm equipment with maintenance logs
- Get reminders for service due
- Track fuel consumption (mock data)
π¬ Farm Logbook & Tasks
- Add daily/weekly tasks (irrigation, harvesting, sowing)
- Assign tasks to workers
- Mark as done with timestamp
π Weather & Forecast
- Local weather data + future forecast
- Alert system for frost, storms, or dry spells
π° Marketplace Panel
- Sell crops or machinery
- View market demand/pricing in real-time
- Chat with buyers (simple messaging system)
π Farmer/Manager Login
- Farmers: View & update data
- Managers: Assign tasks, export reports
π Advanced Feature Ideas
- πΎ Smart Irrigation Planner: Suggest watering based on evapotranspiration + soil moisture
- π· Crop Condition Scanner: Upload image to detect disease or nutrient deficiency (AI)
- π°οΈ NDVI Plot Health Visualizer: Use NDVI index to detect vegetation health (mock data)
- π¦ Warehouse Management: Track stored yield by crop and batch
- πΊοΈ Pest Infestation Map: Show red-flagged areas with pest history
- π Farming Tips Generator: AI answers for user queries like "Best time to sow wheat?"
- π PDF Export: Export farm reports, crop calendar, or inventory
- π§βπΎ Farmer Community: Post updates, ask questions, share crop photos
- π‘οΈ Smart Alerts System: Auto alerts for low rainfall, overdue harvest, etc.
- π Crop Calendar Generator: Dynamic schedule for planting β harvest β fertilization
- π§ͺ Soil Testing Reports Upload: Farmers upload PDF, AI interprets it
- π Yield Prediction Model: Based on past data, predict total yield
π Why Build This?
This project is ideal for:
- Learning how to handle real-world datasets
- Creating AI-powered workflows in agriculture
- Building dashboards, maps, and smart data flows
- Understanding complex entity relationships (crops β sensors β plots)
- Building a full-stack app used in sustainability, IoT, and rural development
Great for portfolios in agritech, data-driven dashboards, or AI + web development.
