湖北省农业农村大数据发展问题研究

doi:10.19788/j.issn.2096-6369.210109

农业大数据学报 ›› 2021, Vol. 3 ›› Issue (1): 81-87.doi: 10.19788/j.issn.2096-6369.210109

湖北省农业农村大数据发展问题研究

官波(), 陈娉婷(), 罗治情, 马海荣, 沈祥成

湖北省农业科学院农业经济技术研究所，武汉 430064

收稿日期:2020-10-09 出版日期:2021-03-26 发布日期:2021-05-18
通讯作者: 陈娉婷 E-mail:guanbo16@qq.com;14196442@qq.com
作者简介:官波，男，博士，研究方向：农业农村信息化；E-mail:guanbo16@qq.com
基金资助:
2019年湖北省人民政府智力成果采购重点资助项目“湖北农业农村大数据发展问题及对策研究”(HBZZ-2019-22);湖北省农业科技创新中心“农业经济与信息研究”团队项目“新常态下农业经济发展与信息传播技术研究”(2019-620-016-002);国家标准化管理委员会农业标准化专项“国家长江中下游农业标准化区域服务与推广平台”(NBFW-19-2018)

Research on Hubei Agriculture and Rural Big Data Development

Bo Guan(), Pingting Chen(), Zhiqing Luo, Hairong Ma, Xiangcheng Shen

Institute of Agricultural Economy and Information, Hubei Academy of Agricultural Sciences, Wuhan 430064, China

Received:2020-10-09 Online:2021-03-26 Published:2021-05-18
Contact: Pingting Chen E-mail:guanbo16@qq.com;14196442@qq.com

摘要/Abstract

摘要：

农业领域是大数据产生和应用的重要领域之一，推动大数据在农业农村领域的应用创新，是加快推进农业现代化、全面建成小康社会的迫切需要。“十三五”以来，湖北省高度重视农业农村大数据发展，推动信息技术和智能装备在农业领域的示范应用，促进农业信息化与农业现代化融合发展。湖北省农业农村大数据信息基础设施逐步完善，大数据技术应用深度融合，信息进村入户工作全面推进，农业监管信息化水平不断提升。同时，湖北省农业农村大数据发展也暴露出基础数据库缺乏、数据标准缺乏、农业应用平台（系统）缺乏、信息基础设施保障能力不足等问题。要实现湖北省农业农村大数据的健康可持续发展，基础是“数据”，关键在“服务”，需形成“以服务换数据，以数据促服务”的建设格局：以为各类涉农主体提供所需服务为手段，采集农业全产业链各环节原始数据；同时，通过对数据的分析、挖掘，向各类涉农主体提供更精准的服务，提升服务体验。基于湖北省农业农村大数据发展现状和问题，围绕建设思路，提出推进湖北农业农村大数据发展的建议，即推进农业农村大数据发展的顶层设计工作，加快农业农村大数据系列标准制定步伐，加快农业农村大数据相关成果的转化，制定湖北农业农村大数据发展配套政策。

关键词: 大数据, 农业, 农村, 湖北省, 农业大数据

Abstract:

Agriculture is an important field for big data generation and application, and promoting the application of big data in agricultural and rural areas is urgently needed to accelerate agricultural modernization and provide food security. Since the 13th Five-Year Plan, Hubei Province has attached great importance to the development of big data in agricultural and rural areas, promoted the application of information technology and intelligent equipment in agriculture, and facilitated the integrated development of agricultural information and agricultural modernization. The information infrastructure for big data in agricultural and rural areas of Hubei Province has gradually improved, the application of big data technology has been deeply integrated, the concept of “Information into the Village” has been comprehensively promoted, and the level of agricultural supervision has been constantly improved. However, the development of agricultural and rural big data in Hubei Province has also exposed problems, such as the lack of basic databases, data standards, and agricultural application platforms (systems), as well as insufficient information-related infrastructure. To realize the sustainable development of agricultural and rural big data in Hubei Province, the foundation is “data”, and the key is “service” .It is necessary to form a construction pattern of “service for data and data for service” by providing necessary services to various agriculture-related subjects for the purpose of collecting original data of all kinds throughout the agricultural industry. Additionally, through analyses and data mining, services can be improved. This paper provides suggestions for promoting Hubei agriculture and rural big data development. Key points include the promotion of top-level agricultural and rural big data development-related designs; the accelerated formulation of standards for agriculture and rural big data; the accelerated transformation of agricultural and rural big data-related achievements; and the formulation of supporting policies for Hubei agricultural and rural big data development.

Key words: big data, agriculture, rural, Hubei Province, agricultural big data

中图分类号:

官波, 陈娉婷, 罗治情, 马海荣, 沈祥成. 湖北省农业农村大数据发展问题研究[J]. 农业大数据学报, 2021, 3(1): 81-87.

Bo Guan, Pingting Chen, Zhiqing Luo, Hairong Ma, Xiangcheng Shen. Research on Hubei Agriculture and Rural Big Data Development[J]. Journal of Agricultural Big Data, 2021, 3(1): 81-87.

参考文献 15

1	邬贺铨.大数据时代的机遇与挑战[J].求是,2013,(4):47-49.
	Wu H Q. Opportunities and Challenges in the Era of Big Data [J].Qiushi, 2013,(4):47-49.
2	肖若晨.大数据助推乡村振兴的内在机理与实践策略[J].中州学刊,2019,(12):48-53.
	Xiao R C. The Internal Mechanism and Practical Strategy of Big Data Boosting Rural Revitalization[J]. Academic Journal of Zhongzhou, 2019,(12):48-53.
3	许世卫.农业高质量发展与农业大数据建设探讨[J].农学学报,2019,(4):13-17.
	Xu S W. Discussion on Agricultural High-quality Development and Agricultural Big Data Construction[J]. Journal of Agriculture, 2019,(4):13-17.
4	谭安洛.加快湖北智慧型经济发展[J].政策,2019,(2):24-25.
	Tan A L. Accelerate the Development of Hubei's Smart Economy[J]. Policy,2019,(2):24-25.
5	满芮.基于大数据的中国农业现代化[J].农业展望,2017,(9):87-91+95.
	Man R. Agricultural Modernization Based on the Big Data[J]. Agricultural Outlook,2017,(9):87-91+95.
6	崔磊.农业大数据建设的需求、模式与单品种全产业链推进路径[J].大数据,2019,(5):100-108.
	Cui L. Demand and Model of Agricultural Big Data Construction in China and the way to Promote the whole Industry Chain[J]. Big Data Research,2019,(5):100-108.
7	李娟王,洪乾.乡村振兴背景下大数据农业的实践经验及政策设计[J].上海大学学报(社会科学版),2019,(3):96-106.
	Li J W, Hong Q. Practical Experience and Policy Design of Big Data Agriculture in the Context of Rural Revitalization[J]. Journal of Shanghai University(Social Sciences Edition),2019,(3):96-106.
8	赵宇晨,卜晓波,王堃等.大数据环境下的农业生产现状[J].电子技术与软件工程,2019,(15):164-165.
	Zhao Y C, Piao X B, Wang K, et al.Agricultural Production Status in Big Data Environment[J]. Electronic Technology & Software Engineering, 2019,(15):164-165.
9	李月,滕青林,刘丽丽等.农业大数据的发展现状与发展趋势[J].安徽农业科学,2017,(31):210-212.
	Li Y,Teng Q L, Liu L L, et al.Development Situation and Trend of Agricultural Big Data[J]. Journal of Anhui Agricultural Sciences, 2017,(31):210-212.
10	屈登辉.农业大数据收集问题分析---以农业信息平台为例[J].广西质量监督导报,2019,(11):102.
	Qu D H. Analysis of Agricultural Big Data Collection--- A Case Study of Agricultural Information Platform[J]. Guangxi Quality Supervision Guide Periodical,2019,(11):102.
11	姚艳敏,白玉琪.农业大数据标准体系框架研究[J].农业大数据学报,2019,(4):76-85.
	Yao Y M, Bai Y Q. A Framework for Agricultural Big Data Standards[J]. Journal of Agricultural Big Data,2019,(4):76-85.
12	周国民.我国农业大数据应用进展综述[J].农业大数据学报,2019,(1):16-23.
	Zhou G M. Progress in the Application of Big Data in Agriculture in China[J]. Journal of Agricultural Big Data, 2019,(1):16-23.
13	杨一丰,蒋思凯,蒋雅茜,等.农业大数据的专属特征及应用现状探讨[J].南方农业,2019,(22):90-94+96.
	Yang Y F, Jiang S K, Jiang Y Q, et al. Discussion on the Exclusive Characteristics and Application Status of Agricultural Big Data[J]. South China Agriculture,2019,(22):90-94+96.
14	赵豪迈.数字经济背景下新基建的核心与实质[J].国家治理,2020,(23):38-40.
	Zhao H M. The Core and Essence of New Infrastructure under the Background of Digital Economy[J]. Governance, 2019,(22):90-94+96.
15	王佳方.智慧农业时代大数据的发展态势研究[J].技术经济与管理研究,2020,(2):124-128.
	Wang J F. Research on Development Situation of Big Data Application in the Era of Smart Agriculture[J]. Journal of Technical Economics & Management, 2020,(2):124-128.

[1]	陈东海, 白保勋, 徐婷婷. 粮食安全下河南农业高质量发展的实现路径[J]. 农业大数据学报, 2023, 0(4): 4-7.
[2]	顾征, 申坚定, 朱书伟, 吕少洋, 汪世静. 南阳市农业农村现代化调研及建议[J]. 农业大数据学报, 2023, 0(4): 8-11.
[3]	徐佳, 康桂玲, 于林松, 赵玉岩, 刘敬兵. 面向土地质量评价的省级农业地质大数据平台构建[J]. 农业大数据学报, 2023, 5(1): 116-125.
[4]	管博伦, 董伟, 张立平, 杨前进, 汪焱. 再生稻溯源追踪平台研发[J]. 农业大数据学报, 2023, 5(1): 55-67.
[5]	魏若璇. 数字乡村发展中的数据安全问题研究[J]. 农业大数据学报, 2022, 4(3): 109-115.
[6]	王达, 宋超, 张馨幻, 徐雯, 杨念. 京津冀地区绿色金融发展水平与农业碳排放效率耦合度研究[J]. 农业大数据学报, 2022, 4(3): 116-125.
[7]	陈佳云, 徐向英, 章永龙, 周烨, 汪红江, 谭昌伟. 多模态知识图谱在农业中的研究进展[J]. 农业大数据学报, 2022, 4(3): 126-134.
[8]	王鑫, 郭雷风. 防返贫监测大数据融合框架的构建与应用[J]. 农业大数据学报, 2022, 4(2): 108-118.
[9]	李博, 马文君, 王忠明, 王姣姣. 林草科研大数据平台的研建与应用[J]. 农业大数据学报, 2022, 4(2): 69-77.
[10]	孙雨潇, 李艳丽, 李峰, 陈谦. 国内外科学数据共享现状研究与发展建议[J]. 农业大数据学报, 2022, 4(2): 88-98.
[11]	陶耘, 成谢锋. 区域大数据发展与区域农业大数据建设水平比较研究[J]. 农业大数据学报, 2022, 4(1): 125-135.
[12]	王小兵, 马晔. 我国农业农村信息化发展水平评价研究[J]. 农业大数据学报, 2022, 4(1): 5-11.
[13]	张茜, 田乙慧, 肖文, 鲁燕. 大数据在农产品冷链物流中的应用[J]. 农业大数据学报, 2022, 4(1): 55-61.
[14]	凌诺娟, 饶元. 云农场智慧服务大数据平台设计与实现[J]. 农业大数据学报, 2021, 3(4): 10-19.
[15]	李志鹏, 赵健, 王苗苗, 陈宏, 高晓丹. 基于大数据的福建省科技特派员服务云平台构建与实现[J]. 农业大数据学报, 2021, 3(4): 59-69.

湖北省农业农村大数据发展问题研究

Research on Hubei Agriculture and Rural Big Data Development

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

参考文献 15

相关文章 15

Metrics

本文评价

推荐阅读 0