中国工程科学 (Aug 2021)

Development Strategy of Agricultural Big Data and Information Infrastructure

  • Sun Jiulin ,
  • Li Denghua ,
  • Xu Shiwei ,
  • Wu Wenbin ,
  • Yang Yaping

DOI
https://doi.org/10.15302/J-SSCAE-2021.04.002
Journal volume & issue
Vol. 23, no. 4
pp. 10 – 18

Abstract

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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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