专刊——区域性农业大数据发展

花生大数据平台建设研究和展望

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  • 河南省农业科学院农业经济与信息研究所,郑州 450002
张辉,男,学士,研究方向:农业信息技术,农业经济;E-mail: nkyzhanghui@163.com

收稿日期: 2020-02-05

  网络出版日期: 2020-06-02

基金资助

河南省重大科技专项(121100110900);河南省农业科学院院县共建项目(编号:豫农科〔2019〕85 号),河南省农业科学院自主创新专项(2020ZC43);河南农科院农信所科研助理人才培养专项(njxxsjj201904)

Establishing a Peanut Big Data Platformin China: A Proposal and Applications

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  • Institution of Agricultural Economy and Information, Henan Academy of Agricultural Sciences, Zhengzhou 450002

Received date: 2020-02-05

  Online published: 2020-06-02

摘要

我国花生产量、消费量、进出口贸易量和加工业规模均居世界之首,在国际上处于举足轻重的地位,但因大而不强、多而不优等诸多产业痛点,面临国际竞争力不强的困境。开展单品种农产品全产业链大数据平台建设,是优化单品种产业链布局、推进农业供给侧结构性改革的重要举措,国家苹果大数据公共平台等单品种农产品大数据应用的落地已在我国发展农业优势产业中起到了重要作用。花生是我国重要的优势特色农产品,但还未有全产业链花生大数据平台面向社会公众开放,本文对花生大数据平台建设进行了研究及展望,以期为大数据助力花生产业发展提供思路。本文首先总结了我国单品种大数据平台建设的实践经验,分析了花生产业发展面临的主要问题;然后梳理了平台建设需要整合的数据资源及其来源,阐述了平台建设思路;最后设计了花生大数据平台的总体架构,提出了平台开展的业务应用。研究表明,建设花生全产业链大数据平台,汇聚及共享交换花生产业数据资源、掌握花生产业情况,依托平台向花生产业各环节、各主体提供精准服务,将花生产业规模化企业纳入质量安全追溯体系,辅助国家制定花生产业发展战略,对于提高花生品质、优化花生种植及加工结构布局、促进产销对接、保障花生产业的可持续发展具有重要意义。

本文引用格式

张辉, 冯晓, 王来刚, 李国强, 乔璐, 魏东, 郑国清 . 花生大数据平台建设研究和展望[J]. 农业大数据学报, 2020 , 2(1) : 45 -52 . DOI: 10.19788/j.issn.2096-6369.200106

Abstract

China's peanut industry includes activities such as production, processing, import and export for consumption of China’s peanuts around the world ranking first, which is in a pivotal position in the international community. However, China's peanut industry exhibits weak international competitiveness. Better industry data are seen as part of the solution. Having effective data about single agricultural products along each whole industry chain is viewed as an important solution for advancing agricultural supply-side structural reform, and could improve the efficiency of the single agricultural product industry chain. For example, the application of single agricultural product big data such as the “zdscxx-pg” -China Apple Big Data Platform plays an important role in the development of China's agricultural superiority industry . Although peanuts are an important agricultural product of China, there is no peanut big data platform of the whole industrial chain open to the public. This paper focuses on how to build a peanut big data platform, which could help the peanut industry improve efficiency and sustainability assisted by big data. In this paper, we first summarize the actual experience of setting up a data platform for a single product, and analyze the key issues. We identify the different types and sources of relevant data, and outline the platform scheme. Finally, we build the overall structure for a peanut big data platform, and propose practical applications of the platform data. Our research shows the value of a peanut big data platform that covers the whole industry chain, gathers and shares data resources of the peanut industry, grasps the situation of peanut industry, relies on the platform to provide accurate services to all links and entities in the peanut industry, integrates large-scale peanut industry companies into quality and safety traceability and its importance for the sustainable development of China’s peanut industry. It can assist the government in formulating a development strategy for the peanut industry. It can gather data along the whole industry chain and share real-time data with industry participants. A peanut big data platform can reveal peanut industry conditions that are helpful to improve peanut quality, such as optimizing peanut planting layout and promoting producer-seller connections.

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