Potential Uses of Digital Twins for Cotton Research and Management

Abstract

A digital twin is digital representation of a physical system. The combination of the virtual and physical systems allows analysis of near real time data and monitoring of the physical system to identify potential problems even before they occur and propose management alternatives to optimize the system.  The Digital Twin models will have simulation model to forecast possible outcomes of management options.  We propose to use UAS collected data of cotton crops to develop a digital twin of a cotton field.  The digital twin at any time in the season represents the current status of the crop and serves as input for a forecasting simulation model.  This presentation will explore the development of digital twins and its potential applications to cotton research and management