The Sustainable Fertilizer Usage Optimizer is an AI-powered tool designed to help farmers optimize fertilizer application and improve crop yields through personalized, data-driven recommendations.
Problem ID: SIH1639 Theme: Agriculture, FoodTech & Rural Development
- 🌱 Tailored fertilizer recommendations based on:
- Specific crop conditions
- Soil data analysis
- 🌍 Multi-lingual support for accessibility
- 🤖 AI-powered recommendation system
- 💬 Integrated chatbot for farmer FAQs
- 📊 Region-wise crop recommendations
- 🌧️ Rainfall pattern analysis
- HTML
- CSS
- JavaScript
- Python
- Pandas
- Joblib
- scikit-learn
- imbalanced-learn
- Flask
- Support Vector Machine (SVM) for fertilizer recommendation
- Random Forest for crop recommendation
- Improved food security
- Enhanced farmer livelihoods
- Accessible agricultural technology
- Reduced fertilizer expenses
- Increased crop profitability
- Reduced nutrient runoff
- Improved soil health
- Decreased carbon footprint
- Data collection and availability
- Model complexity and accuracy
- Farmer technology adoption
- Scalability
- Data privacy
- Weather anomalies
- Partnerships with agricultural institutions
- Farmer education programs
- Cloud-based solutions
- Dynamic model updates
- Real-time data collection hardware
- Python 3.8+
- Flask
- Required libraries (see requirements.txt)
- Clone the repository
git clone https://github.com/your-username/fertilizer-optimizer.git-
Install dependencies
-
Run the application
python app.pyContributions are welcome! Please read our contributing guidelines before submitting a pull request.
- Smart India Hackathon 2024
- Team pH6
- Indian Meteorological Department
- Kaggle Datasets
- Agricultural Research Publications