我国智慧农业的发展现状、路径与对策建议
作者:
作者单位:

1.北京市农林科学院信息技术研究中心;2.中核战略规划研究总院

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基金项目:

中国工程院2019年重大咨询项目(2019-ZD-002)


Development status, path, and countermeasures of smart agriculture in China
Author:
Affiliation:

1.Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences;2.China institute of nuclear industry strategy

Fund Project:

Major Consulting and Research Project of the Chinese Academy of Engineering (2019-ZD-5).

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    摘要:

    智慧农业作为信息技术与农业深度融合的新兴领域,已成为我国现代农业发展的必然趋势,但目前关于智慧农业的研究尚处于起步阶段,需要对其整体发展情况进行科学分析与精准把脉。本文基于对智慧农业概念、特征科学界定,利用宏观统计数据和2019年全国智慧农业发展情况调查数据,分析我国智慧农业发展的现状与问题,探讨未来发展的战略路径与对策建议。结果表明,智慧农业发展具有信息感知数字化、管理决策科学化、装备控制智能化、要素投入精准化和信息服务个性化特征。聚焦智慧农业基础设施、智慧种植业、智慧养殖业、农产品智慧供应链等领域,我国农业新基建取得初步成效,在农情自动化监测、水肥一体化、精准饲喂、农产品采后自动化处理等得到较好应用,但也面临信息化基础设施薄弱、关键技术受制于人、数据资源共享不足、人才与资金缺乏等问题。据此,围绕农业产前、产中和产后推动我国智慧农业发展,提出强化智慧农业顶层设计、研究制定配套政策机制、加强关键技术研发与推广、推进农业全产业链数字化、健全信息化人才培育体系等对策建议,以期为加速我国智慧农业发展进程提供启示与借鉴。

    Abstract:

    As a form of deep integration of information technology and agriculture, smart agriculture has become an ultimate option for modern agricultural development in China. However, current research on smart agriculture is insufficient. It is necessary to conduct scientific analysis and accurate pulse on the development of smart agriculture. Based on a macro statistical data and the national survey data of smart agriculture development in 2019, this paper deeply analyzed the current situation and problems of smart agriculture, and then discussed the future strategic path and countermeasures of smart agriculture. Results show that the development of smart agriculture has the characteristics of digital information perception, scientific management and decision-making, intelligent equipment control, accurate factor input and personalized information service. Focusing on the fields of smart agriculture infrastructure, smart planting, smart breeding, and smart supply chain of agricultural products, China’s new agricultural infrastructure has achieved encouraging results, and automatic monitoring of agricultural situation, fertigation, precise breeding, automatic post-harvest processing of agricultural products and others have been better applied. However, smart agriculture also faces some problems, including weak information infrastructure, key technologies controlled by overseas companies, insufficient data resource sharing, and the lack of talents and funds. Accordingly, to promote the development of China’s smart agriculture around the pre-production, in-production and post-production of agriculture and to provide some enlightenment for accelerating the development process of China’s smart agriculture, this paper suggests: to strengthen top-level design of smart agriculture, to formulate supporting policies, to enhance R&D and promotion of key technologies, to promote digitization of whole agricultural industry chain, and to improve the information personnel training system.

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引用本文

曹冰雪,李瑾,冯献,何昉. 我国智慧农业的发展现状、路径与对策建议[J]. 农业现代化研究, 2021, 42(5): 785-794
CAO Bing-xue, LI Jin, FENG Xian, HE Fang. Development status, path, and countermeasures of smart agriculture in China[J]. Research of Agricultural Modernization, 2021, 42(5): 785-794

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  • 收稿日期:2021-06-07
  • 最后修改日期:2021-07-26
  • 录用日期:2021-07-27
  • 在线发布日期: 2021-09-27
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