2021, Volume 23, Issue 4
Strategic Study of CAE >> 2021, Volume 23, Issue 4 doi: 10.15302/J-SSCAE-2021.04.002
Development Strategy of Agricultural Big Data and Information Infrastructure
1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
2. National Earth System Science Data Center, Beijing 100101, China;
3. Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China;
4. Key Laboratory of Agricultural Information Service Technology, Ministry of Agriculture and Rural Affairs, Beijing 100081, China;
5. Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
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Abstract
Agricultural big data and information infrastructure are important foundations for modern agriculture, prerequisites for smart agriculture, and new elements of agricultural growth in the new era. In this article, we analyze the development status and existing problems of China’s agricultural big data and information infrastructure considering the strategic needs and challenges of smart agriculture development; summarize the relevant policies, action plans, and experiences in China and abroad; propose the strategic objectives of developing agricultural big data and information infrastructure in 2025, 2035, and 2050; and devise the future development technology roadmap. In the future, big data development should be promoted in the entire agricultural industry chain and the construction of the agricultural big data system needs to be standardized by building an integrated data sharing mechanism. Breakthroughs achieved in key common technologies can expand the application of agricultural big data. Agricultural big data industry bases are required for creating application clusters of agricultural big data. An urban–rural integrated information infrastructure needs to be built by coordinating urban and rural resources, and an agricultural cyberspace that features interconnection of everything, human–computer interaction, and sky–space–earth–sea integration is expected to be created. From the policy aspect, China should strengthen the overall planning to improve its rural network infrastructure and the digital transformation of traditional infrastructure, along with promoting the basic research and development of chips, model components, and basic information systems. Moreover, it should focus on core technologies such as agricultural big data acquisition, analysis, and service; strengthen the collaborative innovation of systems and mechanisms to achieve standardization and integrated sharing of agricultural data; and build a high-level talent team to provide basic support for developing smart agriculture in China.
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References
[ 1 ] 汪懋华. 中国工程院院士汪懋华：大数据要为农业现代化作贡 献 [N]. 中国科学报, 2014-05-07 (01). Wang M H. Wang Maohua, member of Chinese Academy of Engineering: Big data should contribute to agricultural modernization [N]. China Science Daily, 2014-05-07(01).
[ 2 ] 姜侯, 杨雅萍, 孙九林. 农业大数据研究与应用 [J]. 农业大数据 学报, 2019, 1(1): 5–15. Jiang H, Yang Y P, Sun J L. Research and application of big data in agriculture [J]. Journal of Agricultural Big Data, 2019, 1(1): 5–15. link1
[ 3 ] 许世卫. 农业高质量发展与农业大数据建设探讨 [J]. 农业学报, 2019, 9(4): 13–17. Xu S W. Discussion on agricultural high-quality development and agricultural big data construction [J]. Journal of Agriculture, 2019, 9(4): 13–17. link1
[ 4 ] 孔丽华，郎杨琴.美国发布“大数据的研究和发展计划” [J]. 科研 信息化技术与应用, 2012, 3(2): 89–93. Kong L H, Lang Y Q. The U.S. Government released “Big data research and development initiative” [J]. E-science Technology & Application, 2012, 3(2): 89–93. link1
[ 5 ] 赵丽，曹星雯. 美国农村宽带政策变化及对我国的启示 [J]. 信 息通信技术与政策, 2018 (9): 63–68. Zhao L, Cao X W. The change of American rural broadband policy and its enlightenment to China [J]. Information and Communications Technology and Policy, 2018 (9): 63–68. link1
[ 6 ] 杨艳萍, 董瑜. 英国实施《农业技术战略》以提高农业竞争力 [J]. 全球科技经济瞭望, 2015 (1): 55–59. Yang Y P, Dong Y. The UK released a strategy for Agricultural technologies to increase its agricultural competitiveness [J]. Global Science, Technology and Economy Outlook, 2015 (1): 55–59. link1
[ 7 ] 沈忠浩, 饶博. 德国布局数字化工业新战略 [J]. 半月谈, 2016 (8): 83–85. Shen Z H, Rao B. Germany lays out new strategy of digital industry [J]. China Comment, 2016 (8): 83–85.
[ 8 ] 郭雷风. 面向农业领域的大数据关键技术研究 [D]. 北京: 中国 农业科学院(博士学位论文), 2016. Guo L F. Study on the key technologies of big data for agriculture [D]. Beijing: Chinese Academy of Agriculture Sciences (Doctoral dissertation), 2016. link1
[ 9 ] 孟祥宝, 谢秋波, 刘海峰, 等. 农业大数据应用体系架构和平台 建设 [J]. 广东农业科学, 2014, 41(14): 173–178. Meng X B, Xie Q B, Liu H F, et al. Architecture and platform construction of big data application in agriculture [J]. Guangdong Agricultural Sciences, 2014, 41(14): 173–178. link1
[10] 孙忠富, 杜克明, 郑飞翔, 等. 大数据在智慧农业中研究与应用 展望 [J]. 中国农业科技导报, 2013, 15(6): 63–71. Sun Z F, Du K M, Zheng F X, et al. Perspectives of research and application of big data on smart agriculture [J]. Journal of Agricultural Science and Technology, 2013, 15(6): 63–71. link1
[11] 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(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(1): 16–23. link1
[12] Xu S W, Li D H, Zhang Y E, et al. Development of portable userinteractive holographic information collector for agricultural product markets [J]. International Journal of Agricultural and Biological, 2020, 13(3): 143–153. link1
[13] 吴文斌, 史云, 周清波, 等. 天空地数字农业管理系统框架设计 与构建建议 [J]. 智慧农业, 2019, 1(2): 64–72. Wu W B, Shi Y, Zhou Q B, et al. Framework and recommendation for constructing the SAGI digital agriculture system [J]. Smart Agriculture, 2019, 1(2): 64–72. link1
[14] 农业农村信息化专家咨询委员会. 《中国数字乡村发展报告》 [R]. 北京: 农业农村信息化专家咨询委员会, 2020. Expert Advisory Committee on agricultural and rural informatization. China digital village development report [R]. Beijing: Expert Advisory Committee on Agricultural and Rural Informatization, 2020.
[15] 中国互联网络信息中心. 第47次中国互联网络发展状况统计报 告 [R]. 北京: 中国互联网络信息中心, 2021. China Internet Network Information Center (CNNIC). The 47th statistical report on internet development in China [R]. Beijing: China Internet Network Information Center (CNNIC), 2021.
[16] 中华人民共和国农业农村部. 《数字农业农村发展规划》发布引 领智慧农业高质量发展 [J]. 农业工程技术, 2020, 40(9): 8–15. Ministry of Agriculture and Rural Affairs of the People’s Republic of China. Digital agriculture and rural development plan promote high-quality development of smart agriculture [J]. Applied Engineering Technology, 2020, 40(9): 8–15.
[17] 中华人民共和国工业和信息化部. 2020年通信业统计公报 [EB/ OL]. (2021-01-22)[2021-05-16]. https://www.miit.gov.cn/jgsj/yxj/ xxfb/art/2021/art_f2e9a4844b964586bfea3977c2e1baf2.html. Ministry of Industry and Information Technology of the PRC. Statistical bulletin of communication industry in 2020 [EB/OL]. (2021-01-22)[2021-05-16]. https://www.miit.gov.cn/jgsj/yxj/xxfb/ art/2021/art_f2e9a4844b964586bfea3977c2e1baf2.html. link1
[18] 国务院. 国务院关于印发新一代人工智能发展规划的通知 [EB/ OL]. (2017-07-20)[2021-04-26]. http://www.gov.cn/zhengce/ content/2017-07/20/content_5211996.htm. State Council. Notice of the State Council on printing and distributing the development plan of new generation artificial intelligence [EB/OL]. (2017-07-20)[2021-04-26]. http://www.gov. cn/zhengce/content/2017-07/20/content_5211996.htm. link1
[19] 许世卫，邸佳颖，李干琼，等. 农产品监测预警模型集群构建理 论方法与应用 [J]. 中国农业科学, 2020, 53(14): 2859–2871. Xu S W, Di J Y, Li G Q, et al. The methodology and application of agricultural monitoring and early warning model cluster [J]. Scientia Agricultura Sinica, 2020, 53(14): 2859–2871. link1
[20] 国新办举行工业和信息化发展情况新闻发布会 [EB/OL]. (2021-03-01)[2021-04-26]. http://www.scio.gov.cn/xwfbh/ xwbfbh/wqfbh/44687/44992/index.htm. The State Council Information Office held a press release on the development of industry and information technology [EB/ OL]. (2021-03-01)[2021-04-26]. http://www.scio.gov.cn/xwfbh/ xwbfbh/wqfbh/44687/44992/index.htm. link1
[21] 杨谨, 刘旭云, 胡学礼, 等. 大数据时代背景下的农业标准化 [C]. 杭州: 第十二届中国标准化论坛, 2015: 1929–1933. Yang J, Liu X Y, Hu X L, et al. Agricultural standardization in the era of big data[C]. Hangzhou: The 12th China Standardization Forum, 2015: 1929–1933.
[22] 张群, 吴东亚, 赵菁华. 大数据标准体系 [J]. 大数据, 2017, 3(4): 11–19. Zhang Q, Wu D Y, Zhao J H. Big data standard system [J]. Big Data, 2017, 3(4): 11–19. link1
[23] 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, 1(4): 78–87. Yao Y M, Bai Y Q. A framework for agricultural big data standards [J]. Journal of Agricultural Big Data, 2019, 1(4): 78–87. link1
[24] 农业农村部市场与信息化司. 农业农村部统计工作发展情况 [EB/OL]. (2019-09-11)[2021-04-26]. http://www.moa.gov.cn/ ztzl/70zncj/201909/t20190911_6327688.htm. Department of Market and Information Technology, Ministry of Agriculture and Rural Affairs of the People’s Republic of China. Statistics development of the Ministry of Agriculture and Rural Affairs of the PRC [EB/OL]. (2019-09-11)[2021-04-26]. http:// www.moa.gov.cn/ztzl/70zncj/201909/t20190911_6327688.htm. link1
[25] 中国农技推广信息平台 [EB/OL]. (2021-04-26)[2021-04-26]. http://njtg.nercita.org.cn/user/index.shtml. China Agricultural Technology Extension Information Platform [EB/OL]. (2021-04-26)[2021-04-26]. http://njtg.nercita.org.cn/ user/index.shtml. link1
[26] 李冉. “渤海粮仓”建设支撑体系构建研究 [D]. 泰安: 山东农业 大学(硕士学位论文), 2016. Li R. The construction of the supporting system for “Bohai Granary” [D]. Tai’an: Shandong Agricultural University (Master’s thesis), 2016. link1
[27] 许世卫, 王禹, 潘月红, 等. 中国农产品监测预警阈值表的研究 与建立 [J]. 农业展望, 2020, 16(8): 3–25. Xu S W, Wang Y, Pan Y H, et al. Research and establishment of monitoring and early warning threshold table of agricultural products in China [J]. Agricultural Outlook, 2020, 16(8): 3–25. link1
[28] 尹衍雨, 白春明, 柴多梅, 等. 大数据与农业 大数据在农业领域 的应用 [J]. 蔬菜, 2018 (3): 1–7. Yi Y Y, Bai C M, Chai D M, et al. The application of big data in agriculture [J]. Vegetables, 2018 (3): 1–7. link1
[29] 王宇霞. 推动国家大数据战略实施、加快数字中国建设的若干 思考 [J]. 产业创新研究, 2018 (4): 6–11. Wang Y X. Thoughts on promoting the implementation of national big data strategy and accelerating the construction of digital China [J]. Industrial Innovation, 2018 (4): 6–11. link1
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