文献类型: 外文期刊
作者: Xiaojuan Liu;Leilei He;Shiao Niu;Rui Li;Yaqoob Majeed;Xiaoxu Sun;Jinyong Chen;Xiaojuan Li;Kerry Brian Walsh;Longsheng Fu
作者机构:
关键词: Automated operations;Digital orchard;Digital Twin;Orchard management;Real-time interaction
期刊名称: Computers and Electronics in Agriculture
ISSN: 0168-1699
年卷期: 2025 年 239 卷
页码:
收录情况: SCIE(2025版) ; ; EI(2025版)
摘要: Digital Twins (DTs) represent a new tool for enabling data-driven orchard management, with the goal of optimizing resource allocation and decision-making. However, unlike general agriculture or annual horticultural systems, fruit tree production is constrained by fixed seasonal cycles, making it difficult to conduct experiments or interventions outside these periods. In addition, the perennial nature of fruit trees, along with complex canopy structures and long production cycles, further increases the complexity and variability of orchard management. An orchard DT consists of a virtual counterpart of the physical orchard entity, with real-time integration of sensor data and a model allowing predictions of system behavior. DTs have the potential to cover all stages of tree-fruit production, from cultivation to post-harvest. This review article of the literature up to 2025 systematically summarizes and indicates that the application of DTs in orchard management remains in an exploratory stage, reflecting the state of development and adoption of enabling technologies, such as the Internet of Things, artificial intelligence, cloud computing, edge computing, extended reality, communications, and blockchain. DTs have been developed for orchard establishment, operations, harvest forecast and optimization, robotic harvesting, natural disaster response, and orchard inventory, with the dominant focus being on harvest operations. Additionally, DTs have been applied to optimize specific orchard processes, such as modelling spray droplet movement within canopies in support of the design of spraying equipment. Very few applications have involved a control system. Commonalities observed in the development of existing orchard DT models suggest the potential for a standardized or universal DT model to support expanded automation operations. Beyond routine orchard management, the potential application of DTs in areas such as natural disaster response is also highlighted, offering opportunities for cost sharing and broader cross-sector benefits.
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