面向 2035 年智慧农业发展战略研究

赵春江, 李瑾, 冯献

中国工程科学 ›› 2021, Vol. 23 ›› Issue (4) : 1-9.

PDF(1098 KB)
PDF(1098 KB)
中国工程科学 ›› 2021, Vol. 23 ›› Issue (4) : 1-9. DOI: 10.15302/J-SSCAE-2021.04.001
智慧农业发展战略研究
Orginal Article

面向 2035 年智慧农业发展战略研究

作者信息 +

Development Strategy of Smart Agriculture for 2035 in China

Author information +
History +

摘要

发展智慧农业是推动我国农业高质量发展、促进乡村全面振兴的重要内容,开展智慧农业战略研究对于把握我国智慧农业中长期科技布局、厘清发展思路与方向具有积极意义。本文立足国家乡村振兴战略背景,剖析概括了农业高质量发展对智慧农业科技的宏观需求,详细分析了面向 2035 年智慧农业发展的战略构想、重点任务、发展路径。研究表明,发展智慧农业有助于解决现阶段我国农业质量效益不高、竞争力不强等问题,建议加快建立“品种选育 + 数字赋能 + 智能装备”有机融合的智慧农业产业技术体系,注重顶层设计、强化技术攻关、建立差异化补贴机制、坚持“产村”融合、加快应用型人才培养;结合不同经营主体特点、不同产业需求,梯次推进智慧农业发展,支持实现“机器替代人力、电脑替代人脑、自主技术竞争力增强”三大转变,保障我国由农业大国走向农业强国。

Abstract

Smart agriculture is an important component of high-quality agricultural development and the overall rural revitalization in China. Research on smart agriculture strategy is significant for developing a medium- and long-term scientific and technological layout and clarifying the development ideas and direction of smart agriculture in China. Against the background of rural revitalization, this study summarizes the macro demand of high-quality agricultural development for smart agricultural science and technologies; it also analyzes the strategic conception, strategic tasks, and development route of China’s smart agriculture development toward 2035. Conclusions show that developing smart agriculture helps address the low quality and efficiency and weak competitiveness of China’s agriculture sector. Furthermore, to achieve the replacements of human power with machines and human brains with computers, and promote the independent technological competitiveness of China’s agricultural sector, an industrial technology system for the smart agriculture that integrates biotechnology, information technology, and intelligent equipment should be established; and smart agriculture should be promoted in a staged manner considering different business entities and industrial needs. Specifically, China should strengthen the top-level design, promote technological research, establish a differentiated subsidy mechanism, integrate industry and village, and encourage applied talent training.

关键词

智慧农业 / 宏观需求 / 总体构想 / 技术路线 / 智慧农场 / 信息化

Keywords

smart agriculture / macro demand / overall conception / technical route / smart farm / informatization

引用本文

导出引用
赵春江, 李瑾, 冯献. 面向 2035 年智慧农业发展战略研究. 中国工程科学. 2021, 23(4): 1-9 https://doi.org/10.15302/J-SSCAE-2021.04.001

参考文献

[1]
孙康泰, 王小龙, 蒋大伟, 等. 美国农业和食品领域2030科技突 破计划及启示 [J]. 全球科技经济瞭望, 2020, 35(11): 25–32. Sun K T, Wang X L, Jiang D W, et, al. The 2030 plan of science and technology breakthrough on agricultural and food study in the United States and its enlightenment [J]. Global Science,Technology and Economy Outlook, 2020, 35(11): 25–32.
[2]
赵春江. 智慧农业发展现状及战略目标研究 [J]. 智慧农业, 2019, 1(1): 1–7. Zhao C J. State-of-the-art and recommended development strategic objectives of smart agriculture [J]. Smart Agriculture, 2019, 1(1): 1–7.
[3]
赵春江, 杨信廷, 李斌, 等. 中国农业信息技术发展回顾及展望 [J]. 农学学报, 2018, 8(1): 180–186. Zhao C J, Yang X T, Li B, et al. The retrospect and prospect of agricultural information technology in China [J]. Journal of Agriculture, 2018, 8(1): 180–186.
[4]
李道亮. 面向需求协同推进我国智慧农业发展 [J]. 国家治理, 2020 (19): 18–21. Li D L. Promoting the development of China’s smart agriculture in the face of demand [J]. Governance, 2020 (19): 18–21.
[5]
许世卫, 王东杰, 李哲敏. 大数据推动农业现代化应用研究 [J]. 中国农业科学, 2015, 48(17): 3429–3438. Xu S W, Wang D J, Li Z M. Application research on big data promote agricultural modernization [J]. Scientia Agricultura Sinica, 2015, 48(17): 3429–3438.
[6]
杨印生, 薛春序, 许莹, 等. 智慧农业的社会经济特征、发展逻辑 与系统阐释 [J]. 吉林农业大学学报, 2021, 43(2): 146–152. Yang Y S, Xue C X, Xu Y, et al. Social and economic characteristics, development logic and systematic interpretation of smart agriculture [J]. Journal of Jilin Agricultural University, 2021, 43(2): 146–152.
[7]
于海业, 李晓凯, 于跃, 等. 光谱技术在农作物信息感知中的应 用研究进展 [J]. 吉林农业大学学报, 2021, 43(2): 153–162. Yu H Y, Li X K, Yu Y, et al. Research progress in the application of spectral technology in crop information perception [J]. Journal of Jilin Agricultural University, 2021, 43(2): 153–162.
[8]
宋洪远. 智慧农业发展的状况、面临的问题及对策建议 [J].人民 论坛·学术前沿, 2020 (24): 62–69. Song H Y. The status and problems of smart agriculture development and responses [J]. People’s Tribune·Academic Frontier, 2020 (24): 62–69.
[9]
吴志峰, 骆剑承, 孙营伟, 等. 时空协同的精准农业遥感研究 [J]. 地球信息科学学报, 2020, 22(4): 731–742. Wu Z F, Luo J C, Sun Y W, et al. Research on precision agricultural based on the spatial-temporal remote sensing collaboration [J]. Journal of Geo-information Science, 2020, 22(4): 731–742.
[10]
Zhu X K, Hu R F, Zhang C, et al. Does Internet use improve technical efficiency? Evidence from apple production in China [J]. Technological Forecasting and Social Change, 2021, 166: 1–11.
[11]
Park D H, Kang B J, Cho K R, et al. A study on greenhouse smart farm system based on wireless sensor [J]. Wireless Personal Communications, 2011, 56: 117–130.
[12]
Sravani V, Santhosh K V, Bhargava S, et al. Design and implementation of a smart controller in agriculture for improved productivity [J]. Journal of Electrical and Electronics Engineering, 2018, 18(1): 45–51.
[13]
Robertson M J, Llewellyn R S, Mandel R, et al. Adoption of variable rate fertiliser application in the Australian grains industry: Status, issues and prospects [J]. Precision Agriculture, 2012, 13(2): 181–199.
[14]
王亚华. 立足国情农情走出中国特色乡村振兴之路 [J].中国农 业资源与区划, 2020, 41(9): 1–8. Wang Y H. Road to rural revitalization with Chinese characteristics based on China’s agricultural conditions [J]. Chinese Journal of Agricultural Resources and Regional Planning, 2020, 41(9): 1–8.
[15]
Wei H K, Han L. Prospects of China’s agricultural development [J]. China Economist, 2016, 11(4): 46–67.
[16]
孙传恒, 于华竟, 徐大明, 等. 农产品供应链区块链追溯技术研 究进展与展望 [J]. 农业机械学报, 2021, 52(1): 1–13. Sun C H, Yu H J, Xu D M, et al. Review and prospect of agri-products supply chain traceability based on blockchain technology [J]. Transactions of the Chinese Society for Agricultural Machinery, 2021, 52(1): 1–13.
[17]
余东华. “十四五”期间我国未来产业的培育与发展研究 [J]. 天 津社会科学, 2020, 3(3): 12–22. Yu D H. The cultivation and development of China’s future industries during the 14th Five-Year Plan [J]. Tianjin Social Sciences, 2020, 3(3): 12–22.
基金
中国工程院咨询项目“智慧农业发展战略研究” (2019-ZD-05)
PDF(1098 KB)

Accesses

Citation

Detail

段落导航
相关文章

/