Research And Design Of Intelligent Product Delivery System For Tongxiang Vegetable Farm

Due to the characteristics of agricultural and sideline products such as short preservation time,high temperature impact,and perishability,there are high requirements for timeliness and sequencing of their distribution.With the development of current artificial intelligence technology,designing and implementing intelligent distribution of agricultural and sideline products has become an urgent need for agricultural and sideline product bases around the world.This article takes Tongxiang Vegetable Farm as an example to realize the theoretical system research and software development design of intelligent distribution from online fruit and vegetable ordering to the farm.First of all,the thesis has conducted a detailed analysis and research on the agricultural and sideline products regional scheduling,distribution sequence,load capacity,distribution vehicles,distribution mileage,shopping hours,traffic,and other issues of Tongxiang Shengcai Farm,and set up intelligent distribution principles of real-time positioning and route optimization;Secondly,an improved genetic algorithm is used to intelligently allocate and calculate retailers’ orders,and a truck route planning model is given to ultimately achieve the shortest total real-time mileage,minimizing distribution costs while maximizing the quality of agricultural and sideline products;Finally,on the visual studio code platform,using Java and Java Script as the main development languages,and using React and We Chat applet native development as the main development tools,using SQL database management technology and Gaode Map API to develop the entire system,the intelligent distribution management system for agricultural and sideline products was finally designed and implemented.The system implements functions such as personnel management,resource management,and intelligent order delivery.The implementation of the intelligent product distribution system for Tongxiang Vegetable Farm not only complements the practical application of the improved genetic algorithm,but also provides a demonstration and reference for the intelligent distribution of agricultural and sideline products in other regions.