Nine-Step Approach of smart agricultural helps grain production reduce costs, increase yield and efficiency

Authors

Shuqin GAO, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, ChinaFollow
Zhaomin HU, Hulun Buir State Farm, Hulun Buir 021008, China
Hongsheng WANG, Bureau of Science and Technology for Development, Chinese Academy of Sciences, Beijing 100864, China
Xiaobo ZHANG, Beijing Guoke Fuxi Technology Co. Ltd., Beijing 100080, China
Yucheng ZHANG, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, ChinaFollow

Keywords

food security, smart agriculture, big data in agricultural, Nine-Step Approach

Document Type

S&T and Society

Abstract

Food security is a top priority in national governance. Since 1949, high-standard farmland construction, agricultural mechanization development, and agricultural technology promotion have all contributed to the grain production. To ensure grain security, China has drawn a “red line” of 1.8 billion mu (about 120 million hectares) as the official minimum of arable land. At the same time, increasing the investment of capital goods such as fertilizer and pesticides can no longer produce more food. Due to the extensive farming method in the past, the continuous increase in total grain output becomes difficult in the future. With the rapid development of advanced technologies such as informatization, intelligence, Internet of Things, big data and artificial intelligence, fine management of agricultural production can be achieved. Through the integration of digital economy and traditional agricultural industries, developing smart agriculture will provide possibilities for increasing food production. Focusing on the three stages of grain production (including pre-, during- and after-production), this study puts forward the Nine-Step Approach of smart agriculture, namely two refinements, three changes, three reductions, and one use. For each step, the connotation, the existing technical bottleneck, and the potential of future improvement are discussed. In addition, suggestions for further development of smart agriculture are made from four perspectives, namely, data collection, data standardization, data applications, and data security.

First page

198

Last Page

209

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

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Recommended Citation

GAO, Shuqin; HU, Zhaomin; WANG, Hongsheng; ZHANG, Xiaobo; and ZHANG, Yucheng (2024) "Nine-Step Approach of smart agricultural helps grain production reduce costs, increase yield and efficiency," Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 39 : Iss. 1 , Article 22.
DOI: https://doi.org/10.16418/j.issn.1000-3045.20230811003
Available at: https://bulletinofcas.researchcommons.org/journal/vol39/iss1/22