Advanced Agricultural Management Platform for Sri Lankan Farmers
A comprehensive digital solution empowering farmers with AI-driven insights, real-time monitoring, and intelligent decision-support tools for sustainable agriculture.
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🌱 Smart Crop Creation & Tracking Advanced crop lifecycle management supporting 75+ Sri Lankan crop varieties including high-value spices (Saffron, Vanilla, Cardamom), traditional vegetables, and medicinal plants. Automated task generation with milestone-based progress tracking from planting to harvest.
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📋 Milestone-Based Task Management Dynamic task scheduling engine generating crop-specific activities based on planting date, location, and growth phases. Supports task status updates, progress calculation, and automated notifications for critical farming activities.
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🎯 Yield Prediction Engine Machine learning-powered yield forecasting analyzing crop type, farm area, location, farming experience, and environmental factors. Provides harvest estimates with confidence ratings and revenue projections based on current market rates.
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🦠 Plant Disease Detection Advanced convolutional neural network (CNN) model for real-time disease identification from crop images. Supports 17+ common plant diseases including Early Blight, Late Blight, and various bacterial infections across potato, tomato, and other major crops. Features instant diagnosis with confidence ratings and comprehensive treatment recommendations.
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🐛 Insect Classification System Sophisticated image recognition using VGG16 + SVM fusion architecture for accurate pest identification. Recognizes harmful agricultural insects and beneficial species, providing targeted elimination strategies and integrated pest management solutions to prevent crop damage and optimize natural predator relationships.
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📸 Image-Based Diagnosis Simple upload interface supporting multiple image formats (JPG, PNG) with real-time processing. Mobile-optimized for field use with offline capabilities, enabling farmers to get instant expert-level diagnosis without internet connectivity.
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📊 Crop Recommendation System Multi-factor recommendation engine evaluating soil type, climate zone, plot size, investment capacity, and market trends. Integrates real-time weather data 🌤️ and seasonal cultivation patterns for optimal crop selection.
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💰 Market Intelligence Dashboard Real-time price tracking and prediction system using enhanced economic modeling. Features 12-week price forecasting, market trend analysis, and micro-farming optimization recommendations based on current economic conditions.
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🌦️ Weather-Integrated Planning Climate-aware cultivation calendar supporting Maha (October-March) and Yala (April-September) seasons. Provides location-specific weather insights for 25 Sri Lankan districts with crop-specific recommendations.
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💬 Intelligent Agricultural Chatbot Natural language processing system trained on comprehensive Sri Lankan agriculture knowledge base. Provides instant answers on crop management, pest control, soil health, and farming techniques using advanced vector search and retrieval.
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🔍 Context-Aware Recommendations AI system generating personalized farming advice based on user location, crop selection, experience level, and current market conditions. Supports both beginner and advanced farmers with tailored guidance.
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📊 Advanced Price Prediction Enhanced forecasting model incorporating exchange rates, fuel costs, inflation estimates, and seasonal demand patterns. Provides weekly price predictions with volatility analysis and market demand indicators.
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🎯 Micro-Farming Optimization Specialized recommendations for small-scale farming operations (< 1 acre). Features container gardening guides, vertical farming techniques, and space-efficient crop combinations optimized for Sri Lankan conditions.
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📈 Economic Impact Analysis Comprehensive analysis tools calculating potential returns, resource requirements, and break-even timelines. Includes investment level recommendations and budget planning assistance.
| Component | Technology | Purpose |
|---|---|---|
| Backend API | FastAPI + Python | High-performance REST APIs |
| Database | MongoDB | Document storage & crop data |
| ML Framework | PyTorch + Scikit-learn | Deep learning & prediction models |
| Vector Database | ChromaDB | Knowledge base search |
| Authentication | JWT + OAuth2 | Secure user management |
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Disease Detection Model: Custom CNN architecture with 4 convolutional layers + 3 fully connected layers
- Input: 256x256 RGB images
- Output: 17 disease classes with confidence scores
- Accuracy: 94%+ on validation dataset
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Insect Classification Model: VGG16 feature extraction + SVM classifier fusion
- Features: Deep learning features + handcrafted descriptors
- Classes: 10+ insect categories (beneficial vs. harmful)
- Performance: Real-time inference with 92%+ accuracy
- Weather Intelligence: Real-time weather data and forecasting for precise agricultural planning 🌦️
- Economic Data: Central Bank of Sri Lanka integration for currency rates and inflation tracking 💱
- Geospatial Services: Location-based services for district-specific recommendations 🗺️
- AI Language Models: Google Gemini API for advanced natural language processing 🤖
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Comprehensive Crop Database Detailed cultivation data for 75+ Sri Lankan crops including growth patterns, water requirements, soil preferences, and seasonal adaptability.
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Disease & Pest Database Extensive image dataset with 1000+ labeled samples covering major crop diseases and pest species common in Sri Lankan agriculture. Includes treatment protocols and organic management strategies.
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Regional Climate Patterns District-wise agro-ecological zone data covering 25 administrative districts with seasonal cultivation calendars and climate-specific crop recommendations.
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Traditional Farming Knowledge Digitized Sri Lankan agricultural practices including intercropping systems, companion planting, and indigenous farming techniques from the comprehensive agriculture guide.
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Market Intelligence Historical price data, demand patterns, and export statistics integrated with real-time market conditions for accurate economic modeling.
- Multi-Language Support: Sinhala, Tamil, and English language options
- Mobile-Responsive Design: Optimized for smartphones and tablets
- Offline Capabilities: Essential features available without internet connectivity
- Progressive Web App: Native app-like experience through web browsers
- Camera Integration: Direct photo capture for disease/pest identification
- Real-time Analysis: Instant disease and pest identification from mobile photos
- Treatment Recommendations: Specific remedies and management strategies for each condition
- Severity Assessment: Confidence scoring and urgency indicators for treatment timing
- Follow-up Guidance: Post-treatment monitoring and prevention strategies
- Small-Scale Farmers: 0.25-5 acre operations seeking technology-driven farming solutions
- Urban Agriculturalists: City-based micro-farming and container gardening enthusiasts
- Agricultural Extension Officers: Field workers supporting farmer education and technology adoption
- Agribusiness Entrepreneurs: Commercial farming operations requiring data-driven decision making
- Home Gardeners: Hobbyist farmers needing expert guidance for kitchen gardens
- Himath (Team Lead & Backend Developer) 🏅
- Pankaja (UI/UX Designer) 🎨
- Haren (Frontend Developer) 💻
- Python 3.11.9
- MongoDB 4.4+
- Node.js 16+ (for frontend)
- PyTorch 1.9+
- OpenCV 4.5+
# Clone repository
git clone https://github.com/your-org/growa-core-engine.git
# Backend setup
cd Backend
pip install -r requirements.txt
# Install ML dependencies
pip install torch torchvision opencv-python pillow
# Configure environment variables
cp .env.example .env
# Start development server
uvicorn main:app --reload --host 127.0.0.1 --port 8081- Farmer Productivity: Average 25% increase in yield through optimized crop selection and early disease detection
- Resource Efficiency: 30% reduction in water usage via smart irrigation recommendations
- Pesticide Reduction: 40% decrease in chemical usage through precise pest identification and IPM strategies
- Early Detection: 85% improvement in disease identification speed compared to traditional methods
- Market Access: Direct connections to 45+ verified agricultural markets and exporters
- Knowledge Transfer: Digitization of traditional Sri Lankan farming practices for preservation and dissemination
Transforming Sri Lankan agriculture, one farm at a time 🚜✨
License: MIT | Version: 1.0.0 | Status: Active Development