Chinese Journal of Intelligent Science and Technology ›› 2019, Vol. 1 ›› Issue (2): 107-117.doi: 10.11959/j.issn.2096-6652.201904

• Regular Papers •     Next Articles

Parallel agriculture:intelligent technology toward smart agriculture

Mengzhen KANG1,3,Xiujuan WANG1,2,Jing HUA1,3(),Haoyu WANG3,4,Fei-Yue WANG1,2   

  1. 1 The State Key Laboratory of Management and Control for Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China
    2 Beijing Engineering Research Center of Intelligent Systems and Technology,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China
    3 Qingdao Academy of Intelligent Industries,Qingdao 266109,China 4.Qingdao Smart Agritech Co.Ltd.,Qingdao 266109,China
    4 Qingdao Smart Agritech Co.Ltd.,Qingdao 266109,China
  • Revised:2019-03-12 Online:2019-06-20 Published:2019-09-09
  • Supported by:
    The National Natural Science Foundation of China(31700315);The National Natural Science Foundation of China(61533019);The National Natural Science Foundation of China(31400623)


Agricultural production is featured by strong uncertainty,diversity and complexity.Production benefit is related to natural conditions,national policies and market environment.Internet brings new challenges and chances to the management in agriculture.Generally speaking,smart agriculture refers to smart control on full production chain including management and service,using ICT techniques,in order to achieve high quality,high efficiency,security and controllability.Based on a brief introduction on the techniques related to these three aspects,the parallel agriculture as the methodology for decision support in smart agriculture was proposed,with artificial system for description intelligence,computational experiments for prediction intelligence,and parallel execution for prescription intelligence.Moreover,the link to agricultural enterprise resource planning (ERP) system,manufacturing execution system (MES) and process control system (PCS) was discussed.As China was developing large-scale agricultural production,methodology for managing scaled agriculture production was provided.

Key words: precision agriculture, deep learning, agricultural big data, smart decision, parallel systems, agricultural ERP, MES, PCS, agriculture 5.0

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