BP Neural Network for the Preservation and Identification of Service Quality in the Cold Chain Logistics of Agricultural Products

Abstract

Wireless communication transmission in the cold chain logistics of agricultural products plays an essential role in food preservation and is also the premise of transportation services and product quality assurance. Currently, the construction of the Internet of Things and 4G wireless network communication network promotes the development of cold chain logistics of agricultural products. In the process of 4G wireless network communication, it contains massive amounts of information, such as location and cargo identification, resulting in problems such as delay and data loss in wireless communication and seriously affecting the preservation effect of agricultural products. Therefore, this paper proposes a 4G wireless network optimisation method based on BP neural network to detect problems such as cold chain transportation and agricultural product preservation and verify the final optimisation effect. The calculation results show that the combination of the BP neural network and 4G wireless network can improve the information recognition effect in cold chain transportation, accurately determine the location, freshness, service evaluation and other information, and realise the optimisation of wireless information network transmission. The overall optimisation rate is more than 90%. Therefore, the method proposed in this paper can meet the needs of cold chain logistics and transportation of agricultural products.