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农作物表型组大数据工厂成套技术装备研究综述

GUO Xinyu LU Xianju LIU Haishen ZHAO Chunjiang WU Sheng GOU Wenbo WEN Weiliang LI Yinglun ZHANG Ying FAN Jiangchuan WANG Chuanyu GU Shenghao

农业机械学报2026，Vol.57Issue(1)：1-18,61,19.

农业机械学报2026，Vol.57Issue(1)：1-18,61,19.DOI:10.6041/j.issn.1000-1298.2026.01.001

农作物表型组大数据工厂成套技术装备研究综述

Review of Integrated Technology and Equipment System for Crop Phenomics Big Data Factory

GUO Xinyu ¹LU Xianju ²LIU Haishen ²ZHAO Chunjiang ¹WU Sheng ¹GOU Wenbo ³WEN Weiliang ¹LI Yinglun ³ZHANG Ying ¹FAN Jiangchuan ¹WANG Chuanyu ³GU Shenghao¹

作者信息

1. Information Technology Research Center,Beijing Academy of Agriculture and Forestry Sciences,Beijing 100097,China||National Engineering Research Center for Information Technology in Agriculture,Beijing 100097,China
2. National Engineering Research Center for Information Technology in Agriculture,Beijing 100097,China||Beijing Key Laboratory of Digital Plant,Beijing 100097,China
3. Information Technology Research Center,Beijing Academy of Agriculture and Forestry Sciences,Beijing 100097,China||Beijing Key Laboratory of Digital Plant,Beijing 100097,China
折叠

摘要

Abstract

The rapid development of crop phenomics demands high-efficiency,intelligent,and cost-effective technologies and systems for large-scale data acquisition and analysis,as well as for germplasm phenotyping.To address these challenges,multidisciplinary innovations was integrated to overcome key technical bottlenecks in high-throughput data acquisition and intelligent traits extraction for crop phenomics.A suite of proprietary technologies was developed,including lightweight and agile multi-sensor arrays,universal imaging box,and both fixed and mobile high-throughput phenotyping platforms adaptable to diverse environments,together with corresponding algorithms and software systems.These developments culminate in the Crop Phenomics Big Data Factory(CPBDF).CPBDF is a comprehensive technology and equipment framework that conceptualizes farmlands,greenhouses,and growth chambers as"factories",where phenotyping platforms function as"production lines",and the output is high-quality phenomics big data.The system integrated field-based and facility-based autonomous phenotyping platforms,organ-and microscopy-level phenotyping systems,automated cultivation control devices,crop modeling systems,a digital-twin intelligent management platform,and a big data computing center.It enabled automated,multi-source,and multi-scale data acquisition with high throughput,precision,and integration,supporting three-dimensional reconstruction and quantitative phenotypic analysis across crop populations,individuals,organs,and microstructures.The proposed framework established a paradigm for the production,processing,and application of crop phenomics big data.It provided foundational infrastructure for digital breeding and smart cultivation,and served as a key enabler for AI for Science-driven research platforms and factory-style germplasm phenotyping.

关键词

作物表型组/大数据工厂/高通量表型平台/管道化解析软件/数字孪生管控平台

Key words

crop phenomics/big data factory/high-throughput phenotyping platform/pipelined traits extraction software/digital twin management platform

分类

信息技术与安全科学

引用本文复制引用

GUO Xinyu,LU Xianju,LIU Haishen,ZHAO Chunjiang,WU Sheng,GOU Wenbo,WEN Weiliang,LI Yinglun,ZHANG Ying,FAN Jiangchuan,WANG Chuanyu,GU Shenghao..农作物表型组大数据工厂成套技术装备研究综述[J].农业机械学报,2026,57(1):1-18,61,19.

基金项目

北京市农林科学院改革与发展项目(GGFZ20240102)、国家重点研发计划项目(2022YFD2002300)、北京市乡村振兴项目(NY2401040025)和北京市农林科学院协同创新中心建设项目(KJCX20240406) （GGFZ20240102）

农业机械学报

ISSN：1000-1298

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