Tagarakis Aristotelis C, Benos Lefteris, Kyriakarakos George, Pearson Simon, Sørensen Claus Grøn, Bochtis Dionysis
Institute for Bio-Economy and Agri-Technology (IBO), Centre for Research and Technology-Hellas (CERTH), 6th km Charilaou-Thermi Rd., 57001 Thessaloniki, Greece.
farmB Digital Agriculture S.A., Dekatis Evdomis (17th) Noemvriou 79, 55534 Thessaloniki, Greece.
Sensors (Basel). 2024 May 14;24(10):3117. doi: 10.3390/s24103117.
Digital twins aim to optimize practices implemented in various sectors by bridging the gap between the physical and digital worlds. Focusing on open-field agriculture, livestock farming, and forestry and reviewing the current applications in these domains, this paper reveals the multifaceted roles of digital twins. Diverse key aspects are examined, including digital twin integration and maturity level, means of data acquisition, technological capabilities, and commonly used input and output features. Through the prism of four primary research questions, the state of the art of digital twins, the extent of their achieved integration, and an overview of the critical issues and potential advancements are provided in the landscape of the sectors under consideration. The paper concludes that in spite of the remarkable progress, there is a long way towards achieving full digital twin. Challenges still persist, while the key factor seems to be the integration of expert knowledge from different stakeholders. In light of the constraints identified in the review analysis, a new sector-specific definition for digital twins is also suggested to align with the distinctive characteristics of intricate biotic and abiotic systems. This research is anticipated to serve as a useful reference for stakeholders, enhancing awareness of the considerable benefits associated with digital twins and promoting a more systematic and comprehensive exploration of this transformative topic.
数字孪生旨在通过弥合物理世界和数字世界之间的差距，优化各行业实施的实践。本文聚焦于露天农业、畜牧业和林业，并回顾了这些领域的当前应用，揭示了数字孪生的多方面作用。研究考察了多个关键方面，包括数字孪生的集成和成熟度水平、数据采集方式、技术能力以及常用的输入和输出特征。通过四个主要研究问题，阐述了数字孪生的技术现状、其实现集成的程度，并概述了所考虑领域中的关键问题和潜在进展。本文得出结论，尽管取得了显著进展，但实现完全的数字孪生仍有很长的路要走。挑战依然存在，而关键因素似乎是整合来自不同利益相关者的专家知识。鉴于综述分析中确定的限制因素，还提出了一个针对特定领域的数字孪生新定义，以符合复杂生物和非生物系统的独特特征。预计这项研究将为利益相关者提供有用的参考，提高对数字孪生相关巨大益处的认识，并促进对这一变革性主题进行更系统、全面的探索。
