The Open Cybernetics & Systemics Journal

2015, 9 : 2168-2172
Published online 2015 October 9. DOI: 10.2174/1874110X01509012168
Publisher ID: TOCSJ-9-2168

Research on the Performance Evaluation Method for Cold Chain Logistics of Agriculture Products Based on BP Neural Network Mode

Liu Zheng
Åbo Akademi University, P.O. Box 311, FIN-65101 Vasa, Finland.

ABSTRACT

Based on BP neural network model, this paper aims at evaluating the performance of cold chain logistics of agriculture products. This paper analyses on the basis of the fresh business' current situation of cold chain logistics, sums up the bottleneck of China's cold chain logistics of agriculture products operation, provides competitive and practical fresh electric cold chain distribution mode in the current cold chain mode of operation and discusses the related problems. The evaluation method is effective to prevent cross contamination of agricultural products, ensure the health, safety and quality of any link from farm to table, and give consumers safe diet to improve people's health level.

Keywords:

Agriculture products, BP neural network model, cold chain logistics, performance evaluation method.