Coordinated development mechanism and path of agricultural logistics ecosystem based on big data analysis and IoT assistance

J. Cao
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引用次数: 3

Abstract

ABSTRACT In order to promote the development of agro-ecological economy and improve the reliability of the development model of agricultural circular economy, this paper explores the general framework of the coordinated development of the agricultural logistics ecosystem from the perspective of the construction of the agricultural logistics ecosystem, the composition of the ecosystem, the synergy stage, and the synergy goal. Moreover, this paper combines big data and Internet of Things technology to analyze its own path of the cooperative development mechanism of the agricultural logistics ecosystem, and uses typical cases to show the internal relationships between the main bodies of the agricultural logistics ecosystem. In addition, this paper attempts to explain the core essence of the agricultural logistics ecosystem and the internal relations of the subjects through the practice of enterprises. After constructing the system framework, this paper combines the intelligent algorithm to construct the intelligent model structure, and analyzes the system function realisation process based on the actual situation. Finally, this paper evaluates the performance of the algorithm model constructed in this paper through experimental research. From the experimental statistical results, it can be seen that the algorithm model constructed in this paper has a certain effect.
基于大数据分析和物联网辅助的农业物流生态系统协调发展机制与路径
摘要为了促进农业生态经济的发展,提高农业循环经济发展模式的可靠性,本文从农业物流生态系统的构建、生态系统的构成、协同阶段、协同目标等方面探讨了农业物流生态系统协调发展的总体框架。此外,本文结合大数据和物联网技术,分析了农业物流生态系统协同发展机制的自身路径,并用典型案例展示了农业物流生态系统主体之间的内在关系。此外,本文试图通过企业的实践来解释农业物流生态系统的核心本质以及各主体之间的内在关系。在构建系统框架后,结合智能算法构建智能模型结构,并结合实际情况分析了系统功能的实现过程。最后,通过实验研究对本文构建的算法模型的性能进行了评价。从实验统计结果可以看出,本文构建的算法模型具有一定的效果。
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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