Research on Agricultural Products E-Commerce, bio technological ethics and Supply Chain Scheduling Based On Weight Template Matching

Authors

  • Ruifang Duan Shijiazhuang Information Engineering Vocational College, Shijiazhuang, 050000, China
  • Sujuan Wang Shijiazhuang Information Engineering Vocational College, Shijiazhuang, 050000, China

DOI:

https://doi.org/10.5912/jcb1058

Abstract

The main reason behind the defaulted decision making model of e-commerce agriculture supply chain is the huge cost of supply chain. The operative method for product designing, maintaining, and distribution is based on the e-commerce techniques, the use of FS algorithm for improving the services of agricultural product is common. The optimization of agricultural problems is made by decision making model. Formulation is done by sequencing the events. Scheduling mode is set up with the help of weighing templates. Plan that targets the distribution route are made on the basis of workable model. Example analysis results: the values of costs of different supply chain mentioned in the paper are 578494.6 yuan and 577983.2 yuan respectively. These values indicate the betterment of the weight matching template model. Although global agriculture has grown more efficient, recent decades have seen an increase in the competition for natural resources due to population expansion, changing food habits, industrial development, urbanization, and climate change. Deforestation, water scarcity, and other environmental problems are all direct results of this unsustainable competitiveness. Bio ethics present a vital role in agricultural products through E-commerce its shows that positive and significant relation between them. Land and water resources have become more competitive as a result of certain initiatives to reduce greenhouse gas (GHG) emissions. As an alternative to using readily accessible and more environmentally friendly energy sources, nations such as these have opted to produce bioenergy, which is very resource-intensive.

Published

2021-12-23

Issue

Section

Research Article