| In the Internet era,advanced technologies such as Internet of things,cloud computing and artificial intelligence have been used to integrate various social resources including electronic finance,logistics,etc onto e-commerce platforms for agricultural products.This makes disinterm-ediation in agricultural industry chain a reality and e-commerce platforms for agricultural products become new service platforms for agriculture that can improve the production and circulation efficiency of agricultural products,and make them more competitive for sales.The advent of e-commerce platforms for agricultural products also help narrow down development inequality that exists among different agricultural regions,improve the competitiveness of agricultural products,and optimize the supply chain and market resource allocation of agricultural products.The thesis begins with an introduction on how e-commerce platforms for agricultural products develop currently in china and abroad.It then analyzes the advantages and disadvantages of each platform,and elaborates on the design,which is based on the mainstream front-end and back-end development technologies,of this overall architecture of the e-commerce management and service platform for agricultural products.The system,which consists of four modules,namely a dealer module,a platform management module,a merchant module,and a public service module,has been developed from front-end and back-end independently and separately.It is an e-commerce management and service platform for agricultural products that has basic functions including product management,merchant management,and product order management,etc,and its special features allow to agricultural product process tracking and decipher emotions in post-sale comments.This system has adopted a universal template to solve the problem of storing data of heterogeneous goods and from sensors,and that of their interactions,which helps improve code reuse and optimize overall code structure.Also,information of dealer emotion,real feedback on product sales and quality,can be accurately obtained by using algorithm combining svm and 1da for emotion analysis.This can help merchants make more efficient decisions,and help dealers make better decisions on purchase.The thesis elaborates as well on how each module of the system is designed and ways to implement the modules.As a matter of fact,the system has achieved the expected results and runs stably after undergoing module function test,integration test and performance test.E-commerce management and service platforms for agricultural products can expand the sales of agricultural and sideline products to a certain extent,and make agricultural products more competitive.At the same time,since the entire process of production,storage and logistics is monitored by sensors,spoilage and deterioration of agricultural products caused by environmental changes can be avoided.Results of analyzing comments on products can help obtain real feedback from agricultural product distributors,support the decision-making of distributors when purchasing agricultural products and help merchants adjust sales strategies.Therefore,the e-commerce management and service platform for agricultural products will be of great value in industry. |