Promoting the Transformation of Modern Agriculture: Reflections and Prospects for the Development of Smart Agriculture

  • KONG FanTao ,
  • ZHAO RenJie ,
  • ZHANG XinRui ,
  • LIU ZhenHu ,
  • CAO ShanShan
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  • 1. Agricultural Economics and Development Research Institute of CAAS, Beijing 100081, China
    2. Agricultural Information Research Institute of CAAS, Beijing 100081, China
    3. Specialty Research Institute of CAAS, Changchun 130112, China
    4. Western Agricultural Research Center of CAAS, Changji 831100, Xinjiang, China
    5. National Nanfan Research Institute of CAAS, Sanya 572024, Hainan, China

Received date: 2024-12-16

  Accepted date: 2025-02-11

  Online published: 2025-06-23

Abstract

With the rapid development of information technology, smart agriculture, as an important direction for modern agriculture, is gradually becoming a key force in promoting the transformation and upgrading of agriculture in China. This article provides a review of the current research status of smart agriculture both domestically and internationally, and explores its specific practice and development trends in China. This article points out that smart agriculture can not only improve agricultural production efficiency and product quality, but also provide new ideas for solving many problems faced by traditional agriculture. At the technical level, the application of emerging technologies such as the Internet of Things, big data, and cloud computing has made the agricultural production process more intelligent and precise; In terms of management, emphasis is placed on optimizing resource allocation and improving service efficiency by building a comprehensive service platform. In addition, policy support is crucial for the development of smart agriculture. The government should increase investment in infrastructure construction and talent cultivation, establish and improve relevant legal and regulatory systems to ensure data security. At the same time, we encourage all sectors of society to actively participate in the construction of smart agriculture, forming a good situation of multi-party collaboration. Finally, this article proposes several directions that future smart agriculture needs to focus on: first, deepening technology research and development; second, strengthening cross disciplinary cooperation; third, emphasizing the summary and promotion of practical experience.

Cite this article

KONG FanTao , ZHAO RenJie , ZHANG XinRui , LIU ZhenHu , CAO ShanShan . Promoting the Transformation of Modern Agriculture: Reflections and Prospects for the Development of Smart Agriculture[J]. Journal of Agricultural Big Data, 2025 , 7(2) : 155 -160 . DOI: 10.19788/j.issn.2096-6369.000090

References

[1] 赵春江. 智慧农业的发展现状与未来展望. 华南农业大学学报, 2021, 42(6):1-7.
[2] PAARLBERG R. The environmental upside of modern farming. Wall Street Journal, Feb. 5, 2021.
[3] WOLFERT S, GE L, VERDOUW C, et al. Big data in smart farming - A review. Agricultural Systems, 2017, 153: 69-80.
[4] 卫龙宝. 从“大国小农”到智慧农业:机会、挑战与对策. 国家治理, 2020(26):37-40.
[5] 李铜山, 李璐洋. 坚持农业农村优先发展面临的难题与对策. 中州学刊, 2019(2):39-44.
[6] 唐珂. 在第五届全国农民教育培训发展论坛“建设数字乡村,推动农业农村现代化”分论坛上的讲话. 农民科技培训, 2023(12):23-24.
[7] 刘河. 基于文献计量的智慧农业研究热点与发展态势分析研究. 山东:山东科技大学, 2022.
[8] 曹冰雪, 李瑾, 冯献, 等. 我国智慧农业的发展现状、路径与对策建议. 农业现代化研究, 2021, 42(5):785-794.
[9] GARG D, ALAM M. Smart agriculture: a literature review. Journal of Management Analytics, 2023, 10(2):359-415.
[10] 李建军, 白鹏飞. 我国智慧农业创新实践的现实挑战与应对策略. 科学管理研究, 2023, 41(2):127-134.
[11] 李道亮. 物联网与智慧农业. 农业工程, 2012, 2(1):1-7.
[12] 汪懋华. 助力乡村振兴推进“智慧农业”创新发展. 智慧农业, 2019, 1(1):3.
[13] JAYARAMAN P P, YAVARI A, GEORGAKOPOULOS D, et al. Internet of things platform for smart farming: Experiences and lessons learnt. Sensors, 2016, 16(11): 1884.
[14] 李道亮. 城乡一体化发展的思维方式变革——论现代城市经济中的智慧农业. 人民论坛·学术前沿, 2015(17):39-47.
[15] 孙刚, 房岩, 陈野夫, 等. 人工智能在智慧农业中的应用研究. 吉林工程技术师范学院学报, 2019, 35(10):93-96.
[16] 李晓微. 试论智慧型农业技术的发展对农业种植的影响. 建筑发展, 2021, 5(1):93-94.
[17] 黄平, 覃玥, 李源洪, 等. 信息时代下四川省农地流转与规模化经营路径分析. 中国农业信息, 2018, 30(1):108-116.
[18] 张军. 以5G技术为支撑推进农业生产管理智慧化. 农村工作通讯, 2020(14):39.
[19] 匡昭敏, 马瑞升, 李莉, 等. 智慧农业气象服务前瞻与建设——以广西甘蔗气象服务为例//中国气象学会: 第33届中国气象学会年会 S13“互联网+”与气象服务——第六届气象服务发展论坛, 2016.
[20] 胡亚兰, 张荣. 我国智慧农业的运营模式、问题与战略对策. 经济体制改革, 2017(4):70-76.
[21] 张祝平. 制约我国智慧农业发展的主要因素与突破路径. 农业经济, 2023(7):12-14.
[22] 杨莹, 陈赟, 何学松. 我国智慧农业发展的模式创新、症结堵点与推进策略. 农业经济, 2024(7):3-6.
[23] 刘科利. 推进智慧农业发展面临的现实约束及政策建议. 农业经济, 2024(6):6-8.
[24] 王术坤, 柯珂, 刘长全, 等. 我国运用智慧农业的现状及对策研究. 中国物价, 2024(7):52-57.
[25] 殷浩栋, 霍鹏, 肖荣美, 等. 智慧农业发展的底层逻辑、现实约束与突破路径. 改革, 2021(11):95-103.
[26] 郜亮亮. 中国种植类家庭农场的土地形成及使用特征——基于全国31省(自治区、直辖市)2014-2018年监测数据. 管理世界, 2020, 36(4):181-195.
[27] 葛晶. 我国智慧农业的管理模式、问题及战略对策. 生态经济, 2017, 33(11):117-121+133.
[28] 朱康睿, 宋成校. 智慧农业发展的国际经验及启示. 世界农业, 2024(3):43-53.
[29] 郭婷, 罗瑞, 任妮, 等. 国际视角下我国智慧农业科技创新发展的启示. 江苏农业科学, 2024, 52(20):1-10.
[30] 熊春林, 周雅婷, 刘芬, 等. 发达国家智慧农业发展的PEST分析及启示. 农业科技管理, 2021, 40(1):5-9.
[31] 杜浦, 杨丹旭, 时雅婷, 等. 借鉴国际经验加快我国智慧农业发展. 江苏农业科学, 2024, 52(20):10-17.
[32] 王锐, 周海川. 日本现代农业的发展经验及对我国的启示. 经济研究参考, 2016(37):71-74.
[33] 吴文浩, 周琳, 尹昌斌, 等. 欧美有机农业补贴政策分析——基于农业生产环境视角. 世界农业, 2019(2):36-42+106.
[34] 曹冰雪, 李鸿飞, 赵春江, 等. 智慧农业科技创新引领农业新质生产力发展路径. 智慧农业(中英文), 2024, 6(4):116-127.
[35] 姜长云. 我国推进农业强国建设的战略思路和现实举措. 社会科学辑刊, 2022(6):128-135.
[36] 龙江, 靳永辉. 我国智慧农业发展态势、问题与战略对策. 经济体制改革, 2018(3):74-78.
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