Purcell, W., & Neubauer, T. (2023). Digital Twins in Agriculture: A State-of-the-art review. Smart Agricultural Technology, 3, Article 100094. https://doi.org/10.1016/j.atech.2022.100094
The Digital Twin enables the distinctions between state sensing, entity understanding and physical automation to be eliminated, through high-fidelity modelling and bidirectional data streams. The concept of real-time virtual representation places the Digital Twin in a unique position to enable digitization in agriculture. The union of data, modelling and what-if simulation can provide an approach to overcome current limitations in decision-making support and automation, across a diverse range of agricultural enterprises. This paper conducts a Systematic Literature Review of Digital Twins in agriculture, identifying current trends and open questions, with the goal of increasing awareness and understanding of the Digital Twin and its possibilities.
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Project title:
Digitalisierungs- und Innovationslabor in den Agrarwissenschaften - Doktorats Kolleg und Innovationsplattform.: 000000 (Vereine, Stiftungen, Preise)
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Research Areas:
Sustainable Production and Technologies: 25% Modeling and Simulation: 50% Sensor Systems: 25%
