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loskiii/twinfarm-digital-twin

Domain:

agriculture

Record type:

software
Creator:
los
Host:
TwinFarm - A Digital Twin Platform for Coriander Farm Management. Real-time monitoring, predictive analytics, and realistic 3D visualization for coriander farm managers in Kenya. # 🌱 TwinFarm: Digital Twin Platform for Coriander Farm Management --- ## 📋 Table of Contents - Project Overview - Key Features - Technology Stack - System Architecture ## 🎯 Project Overview **TwinFarm** is a Digital Twin platform designed specifically for **coriander farm management** in Kenya. The platform creates a virtual, real-time replica of physical coriander farms, integrating IoT sensor data, satellite imagery (NDVI), weather APIs, and machine learning predictions to enable data-driven farming decisions. This project was developed as a **Final Year Project** at **Jomo Kenyatta University of Agriculture and Technology (JKUAT)** , Department of Computing. It addresses the critical challenge faced by coriander farm managers who lack real-time monitoring tools and predictive insights, forcing reactive farming practices that lead to water waste and reduced yields. ### 🚜 The Problem Coriander farm managers in Kenya operate with minimal technological support, relying on visual inspection and traditional knowledge. This leads to: - **40-60% water waste** through inefficient irrigation - **Limited visibility** into crop health and soil conditions - **Unpredictable yields** due to lack of forecasting - **Climate vulnerability** with no adaptation tools ### 💡 Our Solution TwinFarm provides: - **Real-time farm monitoring** via interactive 3D visualization - **Predictive analytics** for yield forecasting and irrigation optimization - **NDVI satellite mapping** for crop health assessment - **AI-powered farming assistant** for natural language queries - **Mock data simulation** for development and testing before sensor deployment --- ## ✨ Key Features ### 1. 🌍 Realistic 3D Digital Twin Farm - Interactive 3D visualization with realistic terrain, crops, and environmental effects - Clickable fields showing detailed crop health, soil moisture, and yield predictions - Dynamic camera controls (rotate, zoom, pan) - Realistic lighting, shadows, and weather effects …

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