中国农业科技导报 ›› 2021, Vol. 23 ›› Issue (10): 82-89.DOI: 10.13304/j.nykjdb.2020.0364

• 智慧农业 农机装备 • 上一篇    下一篇

数字孪生系统在农业生产中的应用探讨

顾生浩1,2,卢宪菊1,2,王勇健1,2,郭新宇1,2*   

  1. 1.北京农业信息技术研究中心, 数字植物北京市重点实验室, 北京 100097; 
    2.国家农业信息化工程技术研究中心, 北京 100097
  • 收稿日期:2020-04-23 接受日期:2020-09-14 出版日期:2021-10-16 发布日期:2021-10-11
  • 通讯作者: 郭新宇 E-mail: guoxy@nercita.org.cn
  • 作者简介:顾生浩 E-mail: gu.shenghao@outlook.com
  • 基金资助:

    北京市农林科学院表型协同创新中心项目(KJCX201917);

    现代农业产业技术体系建设项目(CARS-02-87);

    北京市农林科学院项目(PT2020-18);北京市农林科学院博士后科研基金项目(2018-ZZ-012);

    北京市博士后科研基金项目(ZZ-2019-43)

Application of Agricultural Digital Twin System in Crop Production System

GU Shenghao1,2, LU Xianju1,2, WANG Yongjian1,2, GUO Xinyu1,2*   

  1. 1.Beijing Key Laboratory of Digital Plant, Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China; 2.National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
  • Received:2020-04-23 Accepted:2020-09-14 Online:2021-10-16 Published:2021-10-11

摘要: 数字孪生技术与农业的深度融合将为农业数字化转型升级提供新动能。农业数字孪生系统基于农业生产系统所产生的数据流,通过实时态势感知、超实时虚拟推演和全程交互反馈,有效实现对作物生产系统的智慧管控。系统分析了作物生产系统及其认知方法的发展历程,明确了农业数字孪生系统产生的背景、概念、内涵、基本组成及其技术优势,提出我国农业数字孪生系统的应用方向和发展路径,为推进我国作物生产智能化提供参考。

关键词: 数据驱动, 以虚控实, 闭环反馈, 建模, 大数据分析

Abstract: The deep integration of the digital twin with agriculture will provide a new driving force for the digital transformation and upgrading of agriculture. Based on the data flow generated by the agricultural production system, the digital twin system can achieve intelligent management and regulation of the crop production system through real-time situational awareness, ultra-real-time virtual deduction and interactive feedback throughout the whole process. This paper  overviewed  the development of crop production system and its cognitive approaches, clarified the background, concept, connotation, basic components, and technical advantages of agricultural digital twin system, and raised the application scenarios and development strategies for the agricultural digital twin system, which provided reference for promoting the smart crop production in China.

Key words: data-driven, virtual commissioning, closed loop feedback, modeling, big data analytics

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