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.

摘要

为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建设的角度探讨了农业物流生态系统协调发展的总体框架。 、生态系统的组成、协同阶段和协同目标。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自身的路径，并通过典型案例展示了农业物流生态系统主体之间的内部关系。此外，本文试图通过企业实践来阐释农业物流生态系统的核心本质和主体之间的内在联系。在构建系统框架后，结合智能算法构建智能模型结构，结合实际情况分析系统功能实现过程。最后，本文通过实验研究评估了本文构建的算法模型的性能。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。并结合实际情况分析系统功能实现过程。最后，本文通过实验研究评估了本文构建的算法模型的性能。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。并结合实际情况分析系统功能实现过程。最后，本文通过实验研究评估了本文构建的算法模型的性能。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。