中国储粮生态系统发展的进展与展望:从组成、结构、智慧建设到智慧方法论

IF 3.3 2区 农林科学 Q1 AGRONOMY
Yunshandan Wu, Wenfu Wu, Kai Chen, Ji Zhang, Zhe Liu, Yaqiu Zhang
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引用次数: 0

摘要

粮食安全与保持最佳身体健康和促进积极的生活方式有着内在联系。储粮生态系统(SGEs)是由一系列粮食、微生物和环境要素组成的复杂系统。为确保可持续粮食储存和促进粮食友好型可持续粮食生产,对这些因素进行认真监管和监测至关重要。本文追溯了中国储粮生态理念的演变历程,重点论述了储粮生态系统的微观和宏观结构构成、多田/重耦合结构和智慧构建,并介绍了储粮生态系统的四条发展路线和智慧方法论。讨论了中国中小企业的发展现状和面临的挑战。中国储粮生态概念经历了最初的探索期、形成期和实践期,目前已进入第四阶段,其特征是包括多种生物领域的相互作用。这一演变超越了传统的二元关系,为粮食储存实践的科学和智能理论分析提供了更大的新兴技术空间。智慧方法采用多方面的机制和数据驱动方法,结合四种驱动方法,现在被广泛认为是研究智能粮食系统的领先策略。数字孪生技术能够在虚拟环境中精确模拟和映射现实世界的SGEs,支持对有关粮食状况问题的准确评估和早期预警。在机制和数据的驱动下,数字孪生解决方案是一个开创性的趋势和新兴热点,在提高未来粮食储存过程的智能化和智慧方面具有巨大的潜力。总的来说,这篇综述为从业者推进高质量的智能粮食系统,加强可持续和智能粮食储存实践提供了宝贵的指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Progress and Prospective in the Development of Stored Grain Ecosystems in China: From Composition, Structure, and Smart Construction to Wisdom Methodology
Food security is intrinsically linked to maintaining optimal physical health and promoting active lifestyles. Stored Grain Ecosystems (SGEs) are complex systems comprising a range of grains, microorganisms, and environmental elements. To ensure sustainable grain storage and promote food-friendly SGEs, careful regulation and monitoring of these factors are vital. This review traces the evolution of the Eco-concept of stored grain in China, focusing on micro- and macro-structural composition, the Multi-field/Re-coupling structure, and Smart Construction of SGEs, while introducing the four development lines and Wisdom Methodology of SGEs. The current status and challenges of SGEs in China are also discussed. The Eco-concept of stored grain in China has progressed through the initial exploration period, formation and practice periods, and has now entered its fourth stage, marked by a shift to include interactions of multiple biological fields. This evolution extends beyond the traditional binary relationship and offers emerging technologies greater scope for scientific and intelligent theoretical analysis of grain storage practices. The Wisdom Methodology employs a multifaceted, Mechanism and Data-driven approach, incorporating four driving methods, and is now widely recognized as a leading strategy for researching Smart Grain Systems. Digital Twin technology enables precise simulations and mappings of real-world SGEs in a virtual environment, supporting accurate assessments and early warnings for issues concerning grain conditions. Driven by Mechanism and Data, Digital Twin solutions are a pioneering trend and emerging hotspot with vast potential for enhancing the intelligence and wisdom of future grain storage processes. Overall, this review provides valuable guidance to practitioners for advancing high-quality Smart Grain Systems, enhancing sustainable and intelligent grain storage practices.
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来源期刊
Agriculture-Basel
Agriculture-Basel Agricultural and Biological Sciences-Food Science
CiteScore
4.90
自引率
13.90%
发文量
1793
审稿时长
11 weeks
期刊介绍: Agriculture (ISSN 2077-0472) is an international and cross-disciplinary scholarly and scientific open access journal on the science of cultivating the soil, growing, harvesting crops, and raising livestock. We will aim to look at production, processing, marketing and use of foods, fibers, plants and animals. The journal Agriculturewill publish reviews, regular research papers, communications and short notes, and there is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodical details must be provided for research articles.
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