Smart Fruit Growing Through Digital Twin Paradigm: Systematic Review and Technology Gap Analysis

Q2 Engineering
I. Apeinans, L. Litavniece, S. Kodors, Imants Zarembo, G. Lācis, Juta Deksne
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引用次数: 0

Abstract

Abstract This article provides a systematic review of innovations in smart fruit-growing. The research aims to highlight the technological gap and define the optimal studies in the near future moving toward smart fruit-growing based on a systematic review of literature for the period 2021–2022. The research object is the technological gap until the smart fruit-growing. The research question of the systematic review was related to understanding the current application of vehicles, IoT, satellites, artificial intelligence, and digital twins, as well as active studies in these directions. The authors used the PRISMA 2020 approach to select and synthesise the relevant literature. The Scopus database was applied as an information source for the systematic review, completed from 10 May to 14 August 2022. Forty-three scientific articles were included in the study. As a result, the technology gap analysis was completed to highlight the current studies and the research trends in the near future moving toward smart fruit-growing. The proposed material will be useful background information for leaders and researchers working in smart agriculture and horticulture to make their strategic decisions considering future challenges and to optimise orchard management or study directions. Considering the current challenges, authors advise paying attention to decision-making, expert, and recommendation systems through the digital twin paradigm. This study will help the scientific community plan future studies optimising research to accelerate the transfer to new smart fruit-growing technologies as it is not sufficient to develop an innovation, but it must be done at the appropriate time.
通过数字孪生范式实现智能水果种植:系统回顾与技术差距分析
摘要 本文对智能水果种植方面的创新进行了系统综述。研究旨在强调技术差距,并根据对 2021-2022 年期间文献的系统回顾,确定在不久的将来迈向智能水果种植的最佳研究。研究对象是智能水果种植之前的技术差距。系统综述的研究问题涉及了解当前车辆、物联网、卫星、人工智能和数字双胞胎的应用,以及在这些方向上的积极研究。作者采用 PRISMA 2020 方法来选择和综合相关文献。Scopus数据库被用作系统性综述的信息来源,完成时间为2022年5月10日至8月14日。研究共收录了 43 篇科学文章。结果,完成了技术差距分析,以突出当前的研究和在不久的将来迈向智能水果种植的研究趋势。建议的材料将为从事智能农业和园艺工作的领导者和研究人员提供有用的背景信息,以便他们在考虑未来挑战时做出战略决策,并优化果园管理或研究方向。考虑到当前的挑战,作者建议通过数字孪生范例关注决策、专家和推荐系统。这项研究将有助于科学界规划未来的研究,优化研究,加快向新的智能水果种植技术转移,因为仅仅开发创新是不够的,还必须在适当的时候进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Engineering Management in Production and Services
Engineering Management in Production and Services Business, Management and Accounting-Management Information Systems
CiteScore
3.40
自引率
0.00%
发文量
27
审稿时长
7 weeks
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