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农学学报 ›› 2021, Vol. 11 ›› Issue (11): 108-111.doi: 10.11923/j.issn.2095-4050.cjas20200300090

• 农业信息 • 上一篇    下一篇

基于GIS的猕猴桃电商精准营销智能分析

陈逸青1(), 杨粉莉2, 高舶雯1, 杨联安1(), 韩棋治1   

  1. 1西北大学城市与环境学院,西安 710127
    2咸阳市农业科学研究院,陕西咸阳 712000
  • 收稿日期:2020-03-31 修回日期:2020-07-08 出版日期:2021-11-20 发布日期:2021-12-09
  • 通讯作者: 杨联安 E-mail:2282179753@qq.com;yanglianan@163.com
  • 作者简介:陈逸青,女,1999年出生,江苏淮安人,本科在读,主要从事智慧农业方面的研究。通信地址:710069 陕西省西安市长安区学府大道1号 西北大学城市与环境学院,E-mail: 2282179753@qq.com
  • 基金资助:
    国家大学生创新创业训练计划项目“基于淘宝数据的猕猴桃精准营销智能分析”(201910697114)

Intelligent Analysis of Precision Marketing of Kiwifruit Based on GIS

Chen Yiqing1(), Yang Fenli2, Gao Bowen1, Yang Lian’an1(), Han Qizhi1   

  1. 1College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, Shaanxi, China
    2Academy of Agriculture Sciences of Xianyang, Xianyang 712000, Shaanxi, China
  • Received:2020-03-31 Revised:2020-07-08 Online:2021-11-20 Published:2021-12-09
  • Contact: Yang Lian’an E-mail:2282179753@qq.com;yanglianan@163.com

摘要:

旨在解决传统农产品营销模式中的种植计划粗放、营销市场针对性不足、无法充分挖掘市场等问题,实现猕猴桃电商精准营销。通过互联网等途径采集历年猕猴桃电商营销情况相关数据并建立猕猴桃地理信息数据库,结合GIS的地理数据空间分析与可视化技术,对猕猴桃营销大数据进行智能分析与深度挖掘。可以实现详细的数据统计、分析与总览等,对各地区市场的供需情况精准预测。将相关信息及时反馈给种植者,帮助其进行合理的种植方案决策,同时及时调整猕猴桃种植方案。针对不同季节、地区、需求量、品种等制定精准营销策略,以满足市场多样化需求,有效预防产品滞销等现象发生,切实提高种植户经济效益。

关键词: 精准营销, GIS智能分析, 大数据, 农产品电商, 猕猴桃

Abstract:

To solve the problems of extensive planting plan, lack of target marketing and insufficient market exploitation in traditional agricultural product marketing mode, we studied how to realize precision marketing in kiwifruit e-commerce. Relevant data of kiwifruit e-commerce marketing over the years were collected through Internet and other methods. According to these data, kiwifruit geographic information database is established. It combines geographic data spatial analysis and visualization technology of geographic information system to conduct intelligent analysis and deep mining of kiwifruit marketing big data. Through this method, the detailed statistics, analysis and overview of marketing data can be realized and the supply and demand situation of each regional market can be accurately predicted. Feedback the relevant information to the growers in time can help them make a reasonable planting plan, and at the same time adjust the kiwi planting plan according to the actual situation. Growers can develop precision marketing strategies for different seasons, regions, demands and varieties to meet the diversified needs of the market. It can effectively prevent the phenomenon of unsalable products and improve the economic benefits of growers.

Key words: Precision Marketing, Intelligent Analysis of GIS, Big Data, Agricultural E-commerce, Kiwifruit

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