Abstract:

Cold chain logistics refers to the low-temperature environment in the circulation process of products, including transportation, delivery, processing, packaging, storage, distribution and retail. The losses could be reduced by transporting products through cold chain logistics and consumers could have access to products with high quality and high freshness. The development of China’s cold chain logistics technology lags behind developed countries, mainly due to the low rate of cold chain transportation-distribution system and the low per capita area of cold storage. Meanwhile, there are still the problems of backward infrastructure, unsound system and low level of informatization, which restrict the construction and improvement of the agricultural product quality and safety guarantee system seriously. Under the background of the rapid development of modern information technology, the scientific and reasonable application of big data technology in the cold chain logistics of agricultural products can not only improve the ability to control the storage environment during the circulation of agricultural products, and help to ensure the quality and safety of agricultural products, but also help to achieve resource integration, cost reduction and efficiency enhancement. This study discusses the significance of developing agricultural cold chain logistics and the current situation of cold chain logistics at home and abroad. Then we put forward that we should make full use of the advantages of the era of big data to build an agricultural cold chain logistics platform, which would provide support for the development of agricultural cold chain logistics in China. The proposed agricultural cold chain logistics platform based on big data technology includes data base layer, information management layer and application layer. Through big data technology, the core links in the cold chain logistics could be optimized so as to achieve the effects of optimizing the logistics transportation and storage management of agricultural products, strengthening the quality and safety control of agricultural products, improving the ability of precise sales and efficient distribution, as well as improving the ability of information exchange and sharing. Lastly, this study put forward several suggestions for the development of agricultural cold chain logistics industry in the future, including paying more attention to top-level design, strengthening the cold chain infrastructure, building a better big data system and valuing in-depth data mining, and accelerating the training and introduction of high-tech talents.

Key words: cold chain logistics, big data technology, agriculture products, food safety, cold chain transportation