上海大学学报(社会科学版) ›› 2019, Vol. 36 ›› Issue (3): 96-106.

• 社会学研究 • 上一篇    下一篇

乡村振兴背景下大数据农业的实践 经验及政策设计

  

  1. 江南大学 法学院
  • 收稿日期:2018-06-24 出版日期:2019-05-15 发布日期:2019-05-15

Practical Experience and Policy Design of Big Data Agriculture in the Context of Rural Revitalization

  • Received:2018-06-24 Online:2019-05-15 Published:2019-05-15

摘要: 乡村振兴战略开启了我国农村农业现代化的新征程。因为“农业兴,乡村兴”,所以乡村振兴必须落脚在农业产业化上。基于云计算架构的大数据技术为农业全产业链流程再造创造了可能,是对农业产业的革命性变革。在对我国目前大数据农业的实践模式进行比较和分析的基础上,研究指出,必须通过加快农业大数据制度和基础设施建设,农业土地流转和农业适度规模经营,农业大数据产业技术联盟构建和适应大数据农业发展的新农人的培育等措施来推进大数据农业的发展。

关键词: 大数据农业模式, 农业产业链, 流程再造, 乡村振兴

Abstract: The Rural Revitalization Strategy ushers in a new era of agricultural modernization. As rural prosperity depends on the boom of agriculture, rural revitalization can only be achieved through the industrialization of agriculture. Big data technologies based on cloud computing create the possibility for process reengineering of agricultural industry chain and for revolutionary transformation of traditional agriculture. By comparing and analyzing the existing modes of practice, the paper suggests that we should push forward the development of the big data agriculture by taking the following measures: accelerating the agricultural big data system and infrastructure, advancing rural land circulation, adopting an appropriate scale management of rural land, building agricultural big data technology association and cultivating new farmers to meet with the new demands.

Key words: rural revitalization, agricultural industry chain, big data agriculture model, process reengineering