Chinese Journal of Intelligent Science and Technology ›› 2023, Vol. 5 ›› Issue (1): 41-50.doi: 10.11959/j.issn.2096-6652.202306

• Papers and Reports • Previous Articles     Next Articles

Systems agriculture: modeling and control based on social and economic attributes of agriculture

Mengzhen KANG1,2, Hequan SUN3,4,5, Xiujuan WANG1,6, Fei-Yue WANG1,2   

  1. 1 State Key Laboratory of Multimodal Artificial Intelligence Systems, State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
    2 School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
    3 Max Planck Institute for Plant Breeding Research, Cologne D-50829, Germany
    4 Faculty of Biology, LMU Munich, Munich D-82152, Germany
    5 School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China
    6 Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
  • Revised:2023-02-20 Online:2023-03-15 Published:2023-03-01
  • Supported by:
    The National Key Research and Development Program of China(2021ZD0113704);The National Natural Science Foundation of China(62076239)


With the arrival and development of the fifth industrial revolution, biotechnology, information technology and artificial intelligence are deeply integrated.This provides strong support for the informatization and intelligentization of agriculture.Due to the social and economic characteristics of agriculture, it has become a consensus to build an agricultural physical and social information system toward both the planting system with biophysical properties and the management system with socio-economic properties.Inspired by systems biology, systems agriculture was proposed, which combined two other dimensions of villages and farmers information using the parallel agriculture framework to build and study the agricultural system.Supported by biotechnology, information technology and artificial intelligence technology, systems agriculture had involved monitoring and integrating multi-scale, multi-dimensional and multimodal information, and carried out systematic research covering agriculture, villages and farmers using systems theory, in order to serve the development of future villages.The intelligent technology and the specific cases involved in systems agriculture were summarized and analyzed, and the perspectives of systems agriculture were presented.

Key words: parallel system, ACP theory, DAOs, agricultural metaverse

CLC Number: 

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