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azzizkhayat/Agrismart

Domaine:

agriculture

Type de record:

softwaremodel
Créateur:
azz
Hôte:
AgriSmart is a precision-agriculture decision-support project for farmers in Tunisia # 🌱 AgriSmart AI-powered smart agriculture suite combining **Flutter** + **FastAPI** + **10 ML models** to help farmers make better decisions across plant disease detection, cattle health, irrigation, climate risk, soil health, finance, and crop quality. --- ## ✨ Features | Module | Description | ML Model | |--------|-------------|----------| | 🌿 **Plant Disease** | Scan a leaf → diagnose 38 diseases | EfficientNet V2-S | | 🫒 **Olive Leaf** | On-device detection (3 classes) | TFLite MobileNetV2 | | 🐄 **Cattle Health** | Vital signs → sickness probability + 35-disease KNN match | XGBoost + KNN | | 💧 **Irrigation** | ET₀ next-day forecast + watering plan (5 zones) | XGBoost regressor | | ☁️ **Climate Risk** | Disease pressure forecast from weather | XGBoost classifier | | 🌱 **Soil Health** | 10-parameter analysis → score + advice | RandomForest + IsolationForest | | 📊 **Finance** | 15-year crop forecast (Citrus, Wheat, Olive, Dates) | Prophet | | 🌾 **Crop Suitability** | Best crop given climate/economic conditions | RandomForest | | ⭐ **Crop Quality** | Photo → quality grade (Low/Medium/High) | XGBoost on embeddings | | 🤖 **Aria Chatbot** | Conversational assistant for app help & farming Q&A | Rule-based intent classifier | --- ## 🏗️ Architecture ``` agrismart/ Flutter app (iOS / Android / Web) agrismart_api/ FastAPI backend (Python) artifacts/ ML model weights & metadata ``` **Frontend:** Hub-and-spoke navigation. Animated mesh-gradient backgrounds, glassmorphic cards, fl_chart line charts with confidence bands, hero transitions. **Backend:** Loads 10 models on startup, exposes typed REST endpoints with Pydantic validation. Graceful fallbacks if a model fails to load. --- ## 🚀 Quick Start ### 1. Backend ```bash cd agrismart_api pip install fastapi "uvicorn[standard]" torch torchvision pillow numpy pandas \ scikit-learn xgboost statsmodels prophet tensorflow joblib uvicorn main:app --host 0.0.0.0 --port 8000 --reload ``` Open `0.0.0.127