Developed by Krushna Nawale | KIT
An advanced intelligent agriculture platform helping farmers monitor crops, get AI-powered fertilizer recommendations, and manage sustainable farming practices.
Agritech is a comprehensive web-based agriculture management system designed as a project at KIT. The platform combines modern web technologies with intelligent algorithms to provide farmers with data-driven insights and recommendations for optimal crop management.
- 🤖 AI-Powered Fertilizer Recommendations: Smart fertilizer suggestions based on crop type
- 📊 Crop Health Monitoring: Real-time monitoring and analysis tools
- 🌤️ Weather-Based Farming Advice: Seasonal recommendations and farming tips
- 📱 Responsive Design: Clean, modern UI optimized for all devices
- 🔗 Social Integration: Direct links to developer's professional profiles
- 📧 Contact System: Integrated email communication for support and queries
- Frontend: HTML5, CSS3, JavaScript
- Styling: Custom CSS with Font Awesome icons
- AI Logic: Simple JavaScript-based recommendation algorithms
- Integration: Email forms and external agricultural resources
- Modern web browser (Chrome, Firefox, Safari, Edge)
- Local web server (optional, for development)
- Clone or Download the project files
- Navigate to the project directory
- Open
index.htmlin your web browser
# Using Python (if installed)
python -m http.server 3000
# Using Node.js (if installed)
npx serve .
# Then open http://localhost:3000 in your browserAgritechApp/
├── index.html # Main homepage
├── about.html # About page with project details
├── help.html # Contact and support page
├── fertilizers.html # Fertilizer information page
├── crope.html # Seeds and crops page
├── tool.html # Agricultural tools page
├── aiIntegration.js # AI features and logic
├── index.css # Main stylesheet
├── index.js # Additional JavaScript
├── assets/ # Images and media files
└── README.md # This file
// Smart fertilizer recommendations based on crop type
async function getFertilizerRecommendation(cropType) {
const recommendations = {
'wheat': 'Use NPK 20-20-20 for optimal growth',
'cotton': 'Use Potassium-based fertilizer with NPK 17-17-17',
'rice': 'Use Nitrogen-based fertilizer with NPK 20-10-10'
// ... more crops
};
return recommendations[cropType.toLowerCase()] || "General-purpose fertilizer recommended";
}- Click "What is this Project?" button for detailed information
- Real-time fertilizer recommendations based on user input
- Responsive design for mobile and desktop users
- Homepage: Introduction to Agritech with AI-powered features
- About Section: Comprehensive project information and developer details
- Contact System: Direct email integration for queries and support
- Fertilizer Guide: Smart recommendations for different crop types
- Resource Links: External links to agricultural information
Krushna Nawale
Computer Engineering Student | KIT
Full Stack Developer | AI & Cloud Enthusiast
- GitHub: https://github.com/Krushna4142
- LinkedIn: https://www.linkedin.com/in/krushna4142/
- Twitter: https://x.com/Krishna_05x
- Email: krushnanawale4142@gmail.com
For technical support, collaboration opportunities, or project inquiries:
- Email: krushnanawale4142@gmail.com
- Response Time: 24-48 hours
- Project Type: Engineering Project
This project demonstrates:
- Practical Application: Real-world agricultural problem solving
- Technical Skills: Frontend development with JavaScript integration
- AI Implementation: Simple but effective recommendation algorithms
- Professional Development: Industry-standard coding practices
- User Experience: Clean, intuitive interface design
- Backend integration with database
- Advanced AI/ML models for crop prediction
- Weather API integration
- Mobile application development
- IoT sensor data integration
- Multi-language support
© 2024 Agritech by Krushna Nawale. All Rights Reserved.
Note: This project is developed as part of curriculum at KIT, demonstrating practical applications of web technologies in agricultural domain.