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Zhou, H., & Zhang, H. (2016). Research on the Integration of Agricultural Product Logistics Based on Big Data. Cooperative Economy and Science & Technology, No. 6, 56-57.

has been cited by the following article:

• TITLE: Research on Optimization Strategies for Agricultural Product Logistics and Transportation Systems in the Context of Big Data

  AUTHORS: Yang Wang

  KEYWORDS: Big Data, Agricultural Products, Logistics Transportation System, Optimization

  JOURNAL NAME: Journal of Service Science and Management, Vol.18 No.5, October 21, 2025

  ABSTRACT: With the continuous advancement of information technology, the scope of big data applications has been expanding, providing significant convenience to both production and daily life, and promoting the development of China’s agricultural product logistics and transportation system. In the big data environment, the agricultural product logistics and transportation system faces various challenges, but also encounters new opportunities. This paper addresses the issues present in the agricultural product logistics and transportation system under big data conditions and proposes optimization strategies, including: increasing government financial support for the agricultural product logistics and transportation system; improving logistics infrastructure for agricultural products; strengthening the construction of logistics infrastructure; optimizing information systems for agricultural product logistics and transportation; and advancing the informatization of agricultural product logistics.