基于Python蔬菜销售系统的设计与开发

ABSTRACTThe changes in sales and prices of vegetables fluctuate due to external factors,causing social impacts,which will inevitably affect the future sales and prices of thevegetables and affect the production and living plans of a large number of farmers orbusinesses.Accurately grasping the nature of crop historical sales and prices is animportant basis for modeling input,helps farmers and governments to formulateappropriate policies,and is also an important social application of agricultural big dataanalysis.This article mainly introduces the design and implementation of the vegetable salesanalysis system.The first step is to collect a large amount of vegetable information fordata analysis and processing.This is the primary and basic task.Secondly,we can makefurther mining based on data information.In the process,we can combine theprofessional knowledge and market environment with the help of correspondingprogram algorithms,and discover the hidden behavior and meaning in the future inadvance,and use it as the basis for scientific decision-making.Third,you need toprepare relevant data.Data processing is to study the quality of data and determine thetype of data to be analyzed.Finally,the result analysis is mainly to evaluate thereliability and validity of the extracted data information,and visually display it on thepage to provide a more intuitive display.KEYWORDS:Python:crawler technology;Data analysis;farming;data mining