农业大数据学报 ›› 2019, Vol. 1 ›› Issue (1): 16-23.doi: 10.19788/j.issn.2096-6369.190102

• 研究综述 • 上一篇    下一篇

我国农业大数据应用进展综述

周国民1,2   

  1. 1. 中国农业科学院农业信息研究所,北京 100081
    2. 农业农村部农业大数据重点实验室,北京 100081
  • 收稿日期:2018-08-13 出版日期:2019-03-26 发布日期:2019-04-04
  • 作者简介:周国民,男,博士、研究员,研究方向:农业科学数据共享技术与系统,果业信息化技术;Email: <email>zhouguomin@caas.cn</email>
  • 基金资助:
    中国农业科学院创新工程(CAAS-ASTIP-2018-AII-03)

Progress in the Application of Big Data in Agriculture in China

Zhou Guomin1,2   

  1. 1. Institute of Agricultural Information, China Academy of Agricultural Sciences, Beijing, 100081
    2. Key Laboratory of Agricultural Big Data, Ministry of Agriculture and Rural Affairs, Beijing, 100081
  • Received:2018-08-13 Online:2019-03-26 Published:2019-04-04

摘要:

农业大数据已成为现代农业新型资源要素,也是重要的农业科技创新方向,不仅促进现代农业的生产、经营、管理和服务,而且还耦合催化三产融合。欧美发达国家特别注重农业大数据在现代农业中的作用,我国农业大数据的研究与应用也发展较快,农业数据具有涉及领域广、跨越周期长、采集难度大、处理较为繁杂的特点,因此系统梳理农业大数据应用进展,进一步明确未来发展方向,对我国农业大数据的研究和应用具有重要意义。本文通过文献调研并结合相关科研实践,对比分析了不同学者对农业大数据的定义,阐述了农业大数据的概念和内涵,系统综述了近年来农业大数据在管理与政策、工程与应用、技术与架构等方面的应用进展。最后,根据我国农业大数据发展的现状,指出平台与数据、需求与应用、交易与共享等农业大数据未来发展需要特别关注的三个方面,为进一步促进我国农业大数据领域发展提供建议。

关键词: 农业大数据, 应用进展, 农业科学数据

Abstract:

Big data have become a new resource in modern agriculture and an important focus for technological innovation in agricultural science. Big data not only promote the production, operation, management and service provisions of modern agriculture, but also advance the integration of primary, secondary and tertiary industries. In developed regions such as Europe and the United States, special attention has been paid to the role of big data in modern agriculture; in China, research and application of big data in agriculture have also developed rapidly. Agricultural data generally have large spatial and temporal coverages, and are difficult to collect and complicated to process. Therefore, it is of great significance for the research and application of agricultural big data in China to systematically review the progress regarding the application of such data and further clarify the direction of future development. In this study, a literature review is combined with related scientific research; definitions of big data in agriculture proposed by different researchers are compared and analyzed; concepts and matters relating to big data in agriculture are explained; and progress in the application of big data in agriculture in management and policy, engineering and application, and technology and infrastructure in recent years is systematically summarized. Finally, based on the current situation regarding the development of big data in agriculture in China, this review suggests three aspects where special attention should be paid to promote its development: the issues of platform and data, demand and application, and trade and sharing.

Key words: big data in agriculture, progress in application, scientific data in agriculture

中图分类号: 

  • S-1