监测生长状态和环境响应的作物数字孪生系统研究综述  

Research Review on Crop Digital Twin System for Monitoring Growth Status and Environmental Response

作　　者：李炜 朱德利[1,2] 王青 曾绍华[1,2] LI Wei;ZHU Deli;WANG Qing;ZENG Shaohua(Department of Computer and Information Science,Chongqing Normal University,Chongqing 401331,China;Research Center of Chongqing Digital Agricultural Service Engineering Technology,Chongqing Normal University,Chongqing 401331,China)

机构地区：[1]重庆师范大学计算机与信息科学学院,重庆401331 [2]重庆师范大学重庆市数字农业服务工程技术研究中心,重庆401331

出　　处：《中国农业科技导报》2022年第6期90-105,共16页Journal of Agricultural Science and Technology

基　　金：国家自然科学基金项目(62003065);重庆市教委科学技术研究重点项目(KJZD-201900505);重庆市教委科学技术研究项目(KJQN201800536,KJQN201800521,KJ1600322);重庆市高校创新研究群体智慧农业的机器视觉感知与智能算法研究项目(CXQT20015)。

摘　　要：在农业生产数字化和智慧化阶段,需实时、全面、准确地了解作物生长状态和农田环境,并根据相关信息做出相应的分析、反馈、决策。针对这一问题,借鉴工业数字孪生系统的概念,将作物实际生长与模拟生长的同步、作物实时状态与作物实时管理策略之间的交互系统概括为作物数字孪生系统。在梳理国内外研究现状的基础上,指出作物数字孪生系统包含数据获取与传输、模型构建、可视化交互等阶段;其关键技术包括传感器技术、图像分割技术、建模技术以及可视化技术等。同时指出该领域的研究可以从作物基础数据、系统模型能力、多方协同交互等方面进行。监测生长状态和环境响应的作物数字孪生系统的相关研究对农业生产的智慧化和数字化有较大的现实意义,从理论和应用层面也有较大的价值。At the digital and intelligent stage of agricultural production,people need to comprehensively and accurately understand crop growth status and farmland environment in real-time,and make corresponding analysis,feedback,and decision through relevant information.Aiming at this problem,this paper drew on the concept of the industrial digital twin system and summarized the interactive system between the synchronization of actual crop growth and simulated growth,the real-time status of crops,and the real-time management strategy of crops as a crop digital twin system.Based on the research at home and abroad,this paper pointed out that the crop digital twin system included the stages of acquiring and transmitting data,building models,and visualization interaction;its key technologies included sensor technology,image segmentation technology,modeling technology,and visualization technology.In addition,this paper considered that the research in this field could be carried out from the aspects of basic crop data,system model capabilities,and multi-platform collaborative interaction.The related research on crop digital twin system for monitoring growth status and environmental response had greater practical significance for intelligent and digital agricultural production,and also had greater application value in theory and application.

关 键 词：数字孪生 生长监测 虚拟作物 智慧农业 

分 类 号：S126[农业科学—农业基础科学]