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基于数据挖掘的水果滞销频发原因及对策分析
引用本文:李勇,陈钰欣,陈晓婷,管慧. 基于数据挖掘的水果滞销频发原因及对策分析[J]. 现代农业科技, 2019, 0(22)
作者姓名:李勇  陈钰欣  陈晓婷  管慧
作者单位:长沙学院经济与管理学院,长沙学院经济与管理学院,长沙学院经济与管理学院,长沙学院经济与管理学院
基金项目:湖南省自然科学基金面上项目(2019JJ40328);
摘    要:在乡村振兴、农业供给侧改革的背景下,我国水果农业生产总体保持较快发展,市场规模不断扩大,供需总体保持平衡,但仍有部分水果例如椪柑、西瓜等存在“丰产不丰收”、供需双方不平衡的现象,产销信息不对称、经营模式落后等问题仍然存在。近五年国内水果滞销现象频频发生,成为热点问题,引发社会舆论广泛关注。本文以2015-2018年中国水果滞销网络数据为基础,分析了滞销原因,并提出了改进策略。

关 键 词:水果  滞销原因  数据挖掘
收稿时间:2019-07-12
修稿时间:2019-07-12

Analysis on the Causes and Countermeasures of Unsalable Fruit Frequent Occurrence Based on Data Mining
Abstract:In the country revitalization, agricultural supply side under the background of reform, our country fruit remains generally and rapid development of agricultural production, increasing the size of the market, the overall balance between supply and demand, but there are still some fruit such as ponkan, watermelon and other "high harvest", the phenomenon of unbalanced supply and demand, production and marketing information asymmetry, backward management model and other issues still exist.In recent five years, the phenomenon of unsalable fruit occurred frequently in China, which has become a hot issue and aroused widespread public concern.Based on the data of China fruit unsalable network from 2015 to 2018, this paper analyzes the causes of unsalable fruit and puts forward improvement strategies.
Keywords:fruit   unmarketable reasons   data mining
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