syrinehamdouni/FarmPulse-Smart-Agriculture-App

**FarmPulse** is a cutting-edge smart agriculture application designed for Tunisian farmers. It combines **Artificial Intelligence (AI)** and **Business Intelligence (BI)** to help farmers monitor crops, optimize resources, and increase productivity sustainably. FarmPulse – Smart Agriculture App Smart Agriculture Platform powered by Artificial Intelligence (AI) and Business Intelligence (BI) . --- ## Demo Watch the application demo: github.com --- # FarmPulse – Smart Agriculture App **FarmPulse** is a cutting-edge smart agriculture application designed for Tunisian farmers. It combines **Artificial Intelligence (AI)** and **Business Intelligence (BI)** to help farmers monitor crops, optimize resources, and increase productivity sustainably. --- # Table of Contents 1. Project Overview 2. Key Features 3. AI & ML Integration 4. Business Intelligence (BI) 5. User Interface 6. Technology Stack 7. Installation & Setup 8. Dataset 9. License --- # Project Overview FarmPulse is a smart agriculture platform that provides real-time monitoring, predictive analytics, and actionable insights to farmers. It empowers them to: - Detect diseases and pests early - Optimize irrigation and fertilizer usage - Track crop growth and productivity - Reduce losses and improve sustainability --- # Key Features - **Interactive Dashboard** - Daily crop monitoring - Resource usage - Disease alerts - Productivity metrics - **AI-Powered Disease Detection** - Plant classification (Healthy / Diseased) - Smart recommendations - **Farmer & Field Segmentation** - Unsupervised ML clustering - Performance analysis - **Business Intelligence Reports** - Interactive charts - KPIs - PDF reports - **Cross-Platform Mobile App** - Flutter (Android & iOS) - **Real-Time Notifications** - Irrigation alerts - Disease risk - Crop management reminders --- # AI & ML Integration ### Supervised Learning - Disease detection from crop images - Crop yield prediction using: - Weather - Soil conditions - Historical production ### Unsupervised Learning - Farmer segmentation - Crop behavior analysis - Productivity anomaly detection …