🌱 KrishiMitra - Smart Crop Recommendation System

"Your Friend in Smart Agriculture"

KrishiMitra is an advanced AI-powered crop recommendation system with sustainability scoring, intelligent filtering, and comprehensive fertilizer recommendations. Built to empower farmers with data-driven agricultural decisions while promoting sustainable farming practices.

✨ Features

🤖 AI-Powered Recommendations

• Machine Learning model trained on crop suitability data
• Intelligent probability scoring based on soil and environmental conditions
• Season-specific crop filtering and recommendations

🌍 Sustainability & Environmental Focus

• Carbon Footprint Assessment: 0-10 scale scoring for environmental impact
• Water Efficiency Ratings: Resource usage optimization metrics
• Soil Health Impact: Long-term agricultural sustainability analysis
• Biodiversity Considerations: Ecosystem impact evaluation

💧 Smart Water Management

• Automatic Rainfall Calculation: District + Season + Water Source integration
• Real-time Updates: Dynamic calculations as user changes selections
• Water Source Integration: Groundwater, Canal, River, Pond/Lake contributions

🧪 Advanced Filtering System

• Fertilizer Requirements: Filter by Low/Medium/High fertilizer needs
• Sustainability Levels: Filter by environmental impact scores
• Smart Sorting: Sort by suitability, sustainability, or fertilizer requirements

📋 Detailed Fertilizer Recommendations

• Basal Application Schedules: Precise timing and quantities
• Top-dressing Plans: Follow-up fertilization strategies
• Organic Matter Guidance: Compost and farmyard manure recommendations
• Micronutrient Specifications: Zinc, Boron, Molybdenum requirements
• Complete Timing Calendar: Full seasonal application schedules

🎨 Modern User Interface

• Responsive Design: Works on desktop, tablet, and mobile devices
• Interactive Elements: Smooth animations and hover effects
• Professional Styling: Modern gradient design with intuitive navigation
• Visual Feedback: Progress indicators and real-time updates

🚀 Quick Start

Prerequisites

• Python 3.8 or higher
• pip package manager

Installation

1. Clone or download the project

   cd "G:\sih project\crop recoomadation\new daa"

2. Install dependencies

   pip install -r requirements.txt

3. Run the application

   python app.py

4. Access the system Open your web browser and navigate to: http://127.0.0.1:5000

📁 Project Structure

KrishiMitra/
├── app.py                    # Main Flask application
├── crop_data.py             # Crop data, sustainability scores, and functions
├── crop_model.pkl           # Trained machine learning model
├── requirements.txt         # Python dependencies
├── setup_and_run.py         # Easy setup and launch script
├── templates/
│   └── index.html          # Web interface template
├── Crop_recommendation.csv  # Training dataset (reference)
└── README.md               # This documentation

🔧 System Components

Backend (app.py)

• Flask web framework
• Machine learning model integration
• API endpoints for data and calculations
• Advanced filtering and sorting logic
• Sustainability scoring integration

Data Layer (crop_data.py)

• Crop information and characteristics
• Sustainability scoring metrics
• Fertilizer requirement categories
• Detailed fertilizer recommendations
• Regional rainfall data
• Water source contribution factors

Frontend (templates/index.html)

• Responsive web interface
• Advanced filter controls
• Real-time rainfall calculations
• Interactive recommendation displays
• Detailed fertilizer plan expansion

ML Model (crop_model.pkl)

• Random Forest Classifier
• Trained on comprehensive crop dataset
• Features: N, P, K, temperature, humidity, pH, rainfall
• Supports 22 different crop types

🌾 Supported Crops

Cereals

• Rice, Maize

Legumes (High Sustainability)

• Chickpea, Kidneybeans, Pigeonpeas, Mothbeans, Mungbean, Blackgram, Lentil

Fruits

• Pomegranate, Banana, Mango, Grapes, Watermelon, Muskmelon, Apple, Orange, Papaya, Coconut

Cash Crops

• Cotton, Jute, Coffee

📊 Sustainability Scoring

Scoring Criteria (0-10 scale)

• Carbon Score: Greenhouse gas emissions and carbon sequestration
• Water Efficiency: Water usage optimization and conservation
• Soil Health: Impact on soil fertility and structure
• Biodiversity: Effect on local ecosystem diversity

Categories

• High Sustainability (8.0+): Legumes, environmentally friendly crops
• Medium Sustainability (5.5-7.9): Balanced environmental impact
• Low Sustainability (<5.5): High input, resource-intensive crops

🧪 Fertilizer Categories

Low Fertilizer Crops

• Legumes (nitrogen-fixing): Chickpea, Lentil, Pigeonpeas, etc.
• Benefit: Reduced input costs, environmental sustainability

Medium Fertilizer Crops

• Moderate input requirements: Maize, Pomegranate, Coffee, etc.
• Benefit: Balanced productivity and sustainability

High Fertilizer Crops

• Intensive input needs: Rice, Cotton, Banana, etc.
• Benefit: High productivity potential with proper management

🔍 Usage Guide

1. Enter Soil Parameters: N, P, K levels, temperature, humidity, pH
2. Select Location: Choose season, district, and water source
3. Apply Filters (Optional): Set fertilizer and sustainability preferences
4. Get Recommendations: View ranked crop suggestions with detailed information
5. Explore Details: Click "Detailed Fertilizer Plan" for comprehensive guidance

🌐 API Endpoints

• GET /get_rainfall_data - Retrieve rainfall calculation data
• GET /calculate_rainfall - Calculate water availability for specific conditions
• GET /get_filter_data - Get filtering options and categories
• GET /get_fertilizer_recommendation/<crop_name> - Get detailed fertilizer plan

🤝 Contributing

This system is designed for agricultural decision support and sustainable farming practices.

📝 License

Educational and research use.

🎯 Impact

This system promotes:

• Sustainable Agriculture: Environmentally conscious crop selection
• Data-Driven Farming: Evidence-based agricultural decisions
• Resource Optimization: Efficient use of water and fertilizers
• Climate-Smart Agriculture: Carbon footprint consideration
• Farmer Empowerment: Easy-to-use decision support tools

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Built with ❤️ for sustainable agriculture and environmental conservation