AgriPlanner is an innovative AI-powered farm management system designed to empower farmers with cutting-edge technology. Our platform integrates multiple intelligent modules that provide real-time decision-making tools, transforming traditional farming into smart agriculture.
"Bridging the gap between traditional farming wisdom and modern technology to create sustainable, efficient, and profitable agricultural practices."
- 🤖 CNN-Based Analysis: Advanced Convolutional Neural Networks for accurate plant disease identification
- 📸 Image Recognition: Upload plant images for instant disease diagnosis
- 🎯 95%+ Accuracy: State-of-the-art machine learning models
- 💊 Treatment Recommendations: Immediate suggestions for disease management
- 📊 Disease History Tracking: Monitor plant health over time
- 🧠 ML-Driven Insights: Intelligent crop suggestions based on environmental factors
- 🌡️ Multi-Parameter Analysis:
- Soil composition (N, P, K levels)
- Temperature and humidity
- pH levels and rainfall patterns
- 📈 Yield Optimization: Maximize crop productivity
- 🌍 Location-Specific: Tailored recommendations for your region
- ⚗️ Soil Analysis Integration: Precise fertilizer recommendations
- 🎯 Nutrient-Specific: Targeted N-P-K ratio suggestions
- 💰 Cost-Effective Solutions: Budget-friendly fertilizer options
- 🛒 Direct Purchase Links: Seamless integration with e-commerce platforms
- 📋 Application Guidelines: Detailed usage instructions
- 🌦️ Real-Time Updates: Live weather data integration
- 📅 7-Day Forecasts: Plan your farming activities ahead
- ⚡ Weather Alerts: Instant notifications for severe weather
- 🌡️ Temperature Tracking: Hourly temperature monitoring
- 💧 Precipitation Predictions: Rainfall forecasts for irrigation planning
- 📋 Comprehensive Listing: All relevant agricultural schemes
- 💰 Financial Aid Information: Subsidies and grants available
- 📝 Application Guidance: Step-by-step application processes
- 🔄 Regular Updates: Latest scheme information
- 🎯 Eligibility Checker: Find schemes you qualify for
- 📈 Production Statistics: State-wise crop production data
- 🗺️ Interactive Charts: Visual representation of agricultural trends
- 📊 Performance Metrics: Track your farm's productivity
- 🔍 Market Analysis: Price trends and market insights
- 📱 Mobile-Responsive: Access data anywhere, anytime
- 👥 Farmer Network: Connect with fellow farmers
- 💬 Knowledge Sharing: Exchange farming experiences
- 🎓 Expert Consultations: Access to agricultural experts
- 📚 Resource Library: Comprehensive farming guides
- 🏆 Success Stories: Learn from successful farmers
| Backend | Frontend | Database | AI/ML | APIs |
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- 🐍 Python 3.8 or higher
- 💾 Git
- 🌐 Internet connection for API access
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📥 Clone the Repository
git clone https://github.com/yourusername/AgriPlanner.git cd AgriPlanner -
🔧 Install Dependencies
pip install -r requirements.txt
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🗄️ Initialize Database
python app.py
The database will be automatically created on first run
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🌐 Launch Application
python app.py
Navigate to
http://localhost:5000in your browser
# Core Features:
✅ Real-time image processing
✅ 38+ disease classifications
✅ Confidence scoring
✅ Treatment recommendations
✅ Historical tracking# Parameters Analyzed:
🧪 Soil nutrients (N, P, K)
🌡️ Temperature ranges
💧 Humidity levels
⚖️ pH balance
🌧️ Rainfall patterns# Smart Recommendations:
🎯 Nutrient-specific suggestions
💰 Cost-effective options
📊 Application schedules
🛒 Purchase integration
📈 Yield predictions# Forecast Features:
📅 7-day predictions
⏰ Hourly updates
🚨 Severe weather alerts
🌡️ Temperature tracking
💧 Precipitation data| Cereals | Fruits | Vegetables | Cash Crops |
|---|---|---|---|
| 🌾 Rice | 🍎 Apple | 🍅 Tomato | 🌿 Cotton |
| 🌽 Maize | 🍇 Grape | 🥔 Potato | 🌱 Sugarcane |
| 🌾 Wheat | 🍑 Cherry | 🌶️ Pepper | 🌿 Tobacco |
| 🌾 Barley | 🥭 Mango | 🥒 Cucumber | 🌻 Sunflower |
- 🍎 Apple: Scab, Black Rot, Cedar Rust
- 🍇 Grape: Black Rot, Esca, Leaf Blight
- 🍅 Tomato: Early Blight, Late Blight, Leaf Mold
- 🌽 Corn: Common Rust, Northern Leaf Blight
- 🥔 Potato: Early Blight, Late Blight
- And 25+ more disease classifications
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🚰 Pradhan Mantri Krishi Sinchai Yojana (PMKSY)
- 💧 Irrigation infrastructure development
- 🎯 Water use efficiency improvement
- 🌾 Precision irrigation adoption
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💳 Kisan Credit Card (KCC)
- 💰 Timely credit support
- 📝 Simplified procedures
- 🏪 Single window service
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💰 PM-KISAN Scheme
- 💵 ₹6000 annual income support
- 🏦 Direct bank transfers
- 👨🌾 All landholding farmers eligible
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🛡️ Pradhan Mantri Fasal Bima Yojana (PMFBY)
- 🌾 Comprehensive crop insurance
- 💸 Reduced premium burden
- ⚡ Quick claim settlements
- 🗺️ State-wise Production Maps: Interactive geographical data
- 📈 Trend Analysis: Historical production patterns
- 🏆 Top Producers: Leading states by crop
- 📊 Comparative Charts: Year-over-year analysis
- 🌾 Punjab: Leading rice producer
- 🌿 West Bengal: Top jute producer
- 🌽 Telangana: Highest maize production
- 🥭 Andhra Pradesh: Major mango producer
- 🌐 Farmer Network: Connect with 10,000+ farmers
- 💬 Discussion Forums: Topic-based conversations
- 🎓 Expert Sessions: Weekly consultations
- 📚 Knowledge Base: 500+ articles and guides
- 🏆 Success Stories: Inspiring farmer journeys
- 🆘 24/7 Helpline: Round-the-clock support
- 📧 Email Support: Technical assistance
- 💬 Live Chat: Instant help
- 📱 Mobile Support: On-the-go assistance
# Disease Prediction
POST /submit
Content-Type: multipart/form-data
Parameters: image file
# Crop Recommendation
POST /predict_crop
Parameters: N, P, K, temperature, humidity, ph, rainfall
# Fertilizer Suggestion
POST /predict_fertilizer
Parameters: soil_type, crop_type, N, P, K, temperature, humidity
# Weather Data
GET /weather
Parameters: location, days- 🔐 Encrypted Storage: All user data encrypted
- 🛡️ Secure Transmission: HTTPS protocols
- 👤 Privacy First: No personal data sharing
- 🔄 Regular Backups: Data safety ensured
- 🔐 Secure Login: Multi-factor authentication
- 👤 User Profiles: Personalized experiences
- 🔒 Session Management: Secure user sessions
- 📲 Native iOS/Android apps
- 📷 Camera integration for disease detection
- 🔔 Push notifications for weather alerts
- 📍 GPS-based location services
- 🧠 Predictive analytics for crop yields
- 🌱 Growth stage monitoring
- 🦟 Pest identification system
- 📊 Market price predictions
- 📡 Sensor data integration
- 🌡️ Real-time soil monitoring
- 💧 Automated irrigation systems
- 📊 Environmental data logging
- 🗺️ Multi-language support
- 🌏 International crop databases
- 💱 Multi-currency support
- 🌐 Regional customization
We welcome contributions from the community! 🎉
- 🍴 Fork the Repository
- 🌿 Create Feature Branch
git checkout -b feature/AmazingFeature
- 💾 Commit Changes
git commit -m 'Add some AmazingFeature' - 📤 Push to Branch
git push origin feature/AmazingFeature
- 🔄 Open Pull Request
- 📝 Follow coding standards
- ✅ Write comprehensive tests
- 📚 Update documentation
- 🔍 Ensure code quality
This project is licensed under the MIT License - see the LICENSE file for details.
- 🌾 Farmers Community: For valuable feedback and insights
- 🎓 Agricultural Experts: For domain knowledge
- 💻 Open Source Community: For amazing tools and libraries
- 🏛️ Government Agencies: For data and scheme information
- 🌐 OpenWeatherMap: Weather data API
- 🏛️ Government of India: Agricultural schemes data
- 📊 Agricultural Statistics: Production data
- 🔬 Research Institutions: Disease classification data
Made with ❤️ by the AgriPlanner Team
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Last Updated: January 2024