Digital Twins in Agriculture: A State-of-the-art review

被引：677
|
作者：
Purcell, Warren [1 ]
Neubauer, Thomas [1 ]
机构：
[1] TU Wien, Informat & Software Engn Grp, A-1040 Vienna, Austria
来源：
SMART AGRICULTURAL TECHNOLOGY | 2023年 / 3卷
关键词：
Digital Twin; Agriculture; SYSTEM;
D O I：
10.1016/j.atech.2022.100094
中图分类号：
S2 [农业工程];
学科分类号：
0828 ;
摘要：
The Digital Twin enables the distinctions between state sensing, entity understanding and physical automation to be eliminated, through high-fidelity modelling and bi-directional 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 decisionmaking 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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页数：11
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