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Smart Agriculture ›› 2024, Vol. 6 ›› Issue (4): 116-127.doi: 10.12133/j.smartag.SA202405004

• 综合研究 • 上一篇    下一篇

智慧农业科技创新引领农业新质生产力发展路径

曹冰雪1(), 李鸿飞2(), 赵春江1(), 李瑾1()   

  1. 1. 北京市农林科学院信息技术研究中心,北京 100097,中国
    2. 北京市农林科学院,北京 100097,中国
  • 收稿日期:2024-05-09 出版日期:2024-07-30
  • 基金项目:
    国家自然科学基金专项项目(L2224049); 北京市乡村振兴专家咨询委员会2024年委托课题(202404-Ⅰ); 北京市农林科学院创新能力:乡村振兴研究中心(KJCX20240404); 北京市农林科学院创新能力建设专项(KJCX20240309); 北京市农林科学院青年基金项目(QNJJ202322)
  • 作者简介:
    曹冰雪,研究方向为农业农村信息化理论与微观应用研究。E-mail:
    李鸿飞,研究方向为农业农村信息化政策研究。E-mail:
    (曹冰雪、李鸿飞并列第一作者)
  • 通信作者:
    赵春江,博士,研究员,研究方向为智慧农业。E-mail:
    李 瑾,博士,研究员,研究方向为农业农村信息化政策研究。E-mail:

The Path of Smart Agricultural Technology Innovation Leading Development of Agricultural New Quality Productivity

CAO Bingxue1(), LI Hongfei2(), ZHAO Chunjiang1(), LI Jin1()   

  1. 1. Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
    2. Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
  • Received:2024-05-09 Online:2024-07-30
  • Foundation items:National Natural Science Foundation of China(L2224049); Commission Project of Beijing Rural Revitalization Expert Advisory Committee in 2024; Innovation Capability of Beijing Academy of Agriculture and Forestry Sciences: Rural Revitalization Research Center(KJCX20240404); Innovation Capability Construction Project of Beijing Academy of Agriculture and Forestry Sciences(KJCX20240309); Youth Fund Project of Beijing Academy of Agriculture and Forestry Sciences(QNJJ202322)
  • About author:
    CAO Bingxue, E-mail:
    LI Hongfei, E-mail:
  • Corresponding author:
    ZHAO Chunjiang, E-mail: ;
    LI Jin, E-mail:

摘要:

[目的/意义] 智慧农业科技是农业领域又一次新技术革命,具备农业新质生产力“高科技、高效能、高质量、可持续”的内在特征,已成为推进农业新质生产力发展的重要内核与引擎。[进展]本文对智慧农业科技创新的现实基础、内在逻辑与问题挑战开展系统研究,结论表明中国“表型+基因型+环境型”智能育种已迈入快车道,农业天、空、地信息感知技术体系逐渐成熟,农业大数据与智能决策技术研究探索不断推进,面向不同领域的智能农机装备创制取得丰硕成果。智慧农业科技创新通过赋能农业要素、技术、场景、主体与价值,推动农业新质生产力发展。但也面临科技创新政策体系不健全、关键技术存在卡点堵点断点、科创成果转化落地难度较大、支撑体系不够完备等重大挑战。[结论/展望]聚焦问题导向,提出了中国智慧农业科技创新平台、技术、场景、人才的“四高”路径,并围绕顶层设计、政策供给、先行实践、生态体系等层面,提出智慧农业科技创新引领农业新质生产力发展的对策建议。

关键词: 智慧农业, 科技创新, 农业新质生产力, 数据要素, 智能育种

Abstract:

[Significance] Building the agricultural new quality productivity is of great significance. It is the advanced quality productivity which realizes the transformation, upgrading, and deep integration of substantive, penetrating, operational, and media factors, and has outstanding characteristics such as intelligence, greenness, integration, and organization. As a new technology revolution in the field of agriculture, smart agricultural technology transforms agricultural production mode by integrating agricultural biotechnology, agricultural information technology, and smart agricultural machinery and equipment, with information and knowledge as important core elements. The inherent characteristics of "high-tech, high-efficiency, high-quality, and sustainable" in agricultural new quality productivity are fully reflected in the practice of smart agricultural technology innovation. And it has become an important core and engine for promoting the agricultural new quality productivity. [Progress] Through literature review and theoretical analysis, this article conducts a systematic study on the practical foundation, internal logic, and problem challenges of smart agricultural technology innovation leading the development of agricultural new quality productivity. The conclusions show that: (1) At present, the global innovation capability of smart agriculture technology is constantly enhancing, and significant technology breakthroughs have been made in fields such as smart breeding, agricultural information perception, agricultural big data and artificial intelligence, smart agricultural machinery and equipment, providing practical foundation support for leading the development of agricultural new quality productivity. Among them, the smart breeding of 'Phenotype+Genotype+Environmental type' has entered the fast lane, the technology system for sensing agricultural sky, air, and land information is gradually maturing, the research and exploration on agricultural big data and intelligent decision-making technology continue to advance, and the creation of smart agricultural machinery and equipment for different fields has achieved fruitful results; (2) Smart agricultural technology innovation provides basic resources for the development of agricultural new quality productivity through empowering agricultural factor innovation, provides sustainable driving force for the development of agricultural new quality productivity through empowering agricultural technology innovation, provides practical paradigms for the development of agricultural new quality productivity through empowering agricultural scenario innovation, provides intellectual support for the development of agricultural new quality productivity through empowering agricultural entity innovation, and provides important guidelines for the development of agricultural new quality productivity through empowering agricultural value innovation; (3) Compared to the development requirements of agricultural new quality productivity in China and the advanced level of international smart agriculture technology, China's smart agriculture technology innovation is generally in the initial stage of multi-point breakthroughs, system integration, and commercial application. It still faces major challenges such as an incomplete policy system for technology innovation, key technologies with bottlenecks, blockages and breakpoints, difficulties in the transformation and implementation of technology achievements, and incomplete support systems for technology innovation. [Conclusions and Prospects] Regarding the issue of technology innovation in smart agriculture, this article proposes the 'Four Highs' path of smart agriculture technology innovation to fill the gaps in smart agriculture technology innovation and accelerate the formation of agricultural new quality productivity in China. The "Four Highs" path specifically includes the construction of high-energy smart agricultural technology innovation platforms, the breakthroughs in high-precision and cutting-edge smart agricultural technology products, the creation of high-level smart agricultural application scenarios, and the cultivation of high-level smart agricultural innovation talents. Finally, this article proposes four strategic suggestions such as deepening the understanding of smart agriculture technology innovation and agricultural new quality productivity, optimizing the supply of smart agriculture technology innovation policies, building a national smart agriculture innovation development pilot zone, and improving the smart agriculture technology innovation ecosystem.

Key words: smart agriculture, technology innovation, agricultural new quality productivity, data elements, smart breeding