Digital Twins (DTs) are virtual models that simulate real-world systems. This study introduces a DT for mealworm farming based on the System Dynamics (SD) approach. The SD-based Mealworm Farm Digital Twin (MFDT) as an application is intended to enhance the efficiency of mealworm farming operations. The development process involved interviewing a mealworm farmer and implementing the findings using Vensim Software and Stella Architect. The model utilises qualitative causal loop diagrams to represent feedback and stock and flow diagrams for quantitative analysis. The mealworm farming method encompasses the simulation of crucial elements such as production, inventory management, and cost structures. The mealworm farmer used the MFDT to assess several policies and determine the most effective pricing strategies to yield the quickest return on investment and long-term retained earnings. Also, the effects of reducing the mealworm maturity cycle and using higher-cost organic feed, highlighting the importance of balanced operational modifications, were investigated. The MFDT also simulates customer behaviour and market dynamics, facilitating the development of efficient marketing strategies and enhancing customer satisfaction by balancing supply and demand. The MFDT includes scenarios that offer critical insights into developing robust management strategies by simulating real-world challenges, improving decision-making and ensuring sustainable and profitable farming practices. The MFDT is a valuable tool for farmers to experiment with various techniques and assess their impacts without the risks of real-world experiments.