Research And Design Of Agricultural Product Sales Management System Based On Correlation Analysis

In the process of cultivation,production and sale of agricultural products,sales is a very important link.Farmers and distributors must follow the market rules and adjust production or sales strategies in time to meet market demand,so as to obtain returns.The traditional mode of agricultural product sales in China mainly relies on farmers to sell or wait for wholesalers to come to buy it.The drawbacks of this mode lie in the lack of timely and accurate grasp of market demand and supply-demand relationship,as well as the influence of force majeure factors such as the planting environment,preservation conditions and North-South differences of agricultural products.The ultimate result is that farmers’ interests are affected.Loss,the lack of market supply and demand,the impact of people’s living needs and other aspects of the adverse situation damaged.Based on the above reasons,the marketing path of agricultural products should be continuously reformed and improved on the original basis.The timeliness and accuracy of online marketing information transmission should be utilized to continuously improve the marketing quality of agricultural products,break regional restrictions and seasonal differences,and reduce marketing costs and marketing risks.A convenient and efficient agricultural product sales system suitable for modern market is used to provide timely,comprehensive and valuable product and sales information for farmers,wholesalers and other decision makers and managers.It is convenient for decision makers and managers to respond to market changes in a timely and rapid manner,so that they can play a leading role in market competition.Apriori algorithm is a frequent itemset mining algorithm based on set theory.The idea of searching frequent itemsets is a layer-by-layer iteration method,i.e.using frequent itemsets to find candidate itemsets,the length of itemsets is increasing;from the point of view of set theory,it is a method of generating supersets with sets.In this paper,we extend Apriori algorithm and propose an Apriori-based frequent pattern mining algorithm for constraints.This algorithm can be used to mine the characteristics of customers purchasing agricultural products in agricultural sales management system,analyze business rules and information,and provide decision-making analysis for decision makers.At the same time,combined with.NET,SQL Server,C_and data mining technology,using theoretical analysis,experimental simulation,algorithm simulation,comparative analysis,object-oriented analysis and other methods,the agricultural product sales management system is developed and studied under B/S mode.Finally,the basic management and intelligent analysis of agricultural products sales are designed and implemented to help decision makers respond to market changes in a timely and rapid manner.This system mainly takes the managers of agricultural products enterprises and customers who buy agricultural products as service objects.It can be divided into five subsystems: customer information management,agricultural products information management,shopping information management,user information management and intelligent analysis.It can be further divided into customer information processing,customer information query,agricultural products information processing,agricultural products information query and shopping information processing.Functional modules such as shopping information query,user password modification,customer user management,data conversion,Association analysis,etc.The system has perfect functions,simple interface,easy operation and later maintenance.It can successfully complete the simulation test,realize all the functions of the system,meet the needs of decision makers for the management system of agricultural products sales,improve the management level and economic benefits of agricultural products sales,and has good market prospects and promotional significance.