Automated Strawberry Runner Removal: Digital Twin Simulation and Performance Evaluation

Abstract

Effective strawberry runner management is essential for optimizing yield and operational efficiency in commercial production. Manual pruning is labor-intensive and costly, necessitating automation. This study presents the development and evaluation of an automated mechanical system for runner removal. The prototype actuator, mounted on a ground vehicle, traverses plasticulture beds, employing a continuous running gear to guide overhanging runners toward a rotary blade. To evaluate before physical prototyping, the system was digitally modeled in Unreal Engine under realistic field conditions, reducing costs and crop damage risks. Performance evaluation focused on consistent runner cutting in simulation, with results supporting system feasibility. By leveraging digital twin technology for early-stage validation, this study highlights the potential of automation in precision agriculture to reduce labor demands and improve strawberry cultivation efficiency.