In order to improve the efficiency of agricultural product logistics transportation, based on big data technology, this paper starts from the factors that affect the efficiency of agricultural product logistics and combines big data technology to conduct the research on the mechanism and efficiency of agricultural products logistics transportation. Moreover, this paper analyzes how to improve the efficiency of agricultural product logistics by studying the dynamic relationship between influencing factors and the efficiency of agricultural product logistics. At the same time, this paper takes the efficiency evaluation of agricultural product logistics transportation network as the research object to improve the agricultural product data analysis algorithm, and constructs the system model from the perspective of the supply chain. In addition, this paper constructs system function modules according to the actual needs of agricultural product logistics transportation, and analyzes agricultural product transportation logistics by factor analysis. Finally, this paper verifies the effect of the model proposed in this paper through experimental research. From the test results, it can be seen that the model proposed in this paper basically meets the actual needs.

中文翻译：

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基于大数据的农产品物流运输机制与效率研究

【摘要】：为提高农产品物流运输效率,基于大数据技术,从影响农产品物流效率的因素入手,结合大数据技术对农产品物流运输机制与效率进行研究。运输。此外,本文通过研究影响因素与农产品物流效率之间的动态关系,分析了如何提高农产品物流效率。同时，本文以农产品物流运输网络效率评价为研究对象，改进农产品数据分析算法，从供应链的角度构建系统模型。此外，本文根据农产品物流运输的实际需求构建系统功能模块，采用因子分析法对农产品运输物流进行分析。最后，本文通过实验研究验证了本文提出的模型的效果。从测试结果可以看出，本文提出的模型基本满足实际需求。