Author(s)

Su Xia

Corresponding Author

Su Xia

Abstract

Equipped with the rapid development of e-commerce, the volume of e-commerce transactions in agricultural products has also shown a sharp increase. However, the low level of agricultural product logistics in China has seriously hindered the circulation of agricultural products. In the context of smart logistics, the use of cloud technology to transform the agricultural product logistics model has become a trend. This paper will analyze the Interpolation Factor Interpretation Structure Model (ISM) of agricultural product cloud logistics model, and provide relevant path reference for the transformation and upgrading of agricultural product cloud logistics model.

Keywords

Smart logistics; Agricultural products; Cloud logistics; Explanatory structure model