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作 者:Weiliang Wen Shenghao Gu Ying Zhang Wanneng Yang Xinyu Guo
机构地区:[1]Information Technology Research Center,Beijing Academy of Agriculture and Forestry Sciences,Beijing 100097,China [2]Beijing Key Lab of Digital Plant,National Engineering Research Center for Information Technology in Agriculture,Beijing 100097,China [3]National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research,Huazhong Agricultural University,Wuhan 430070,China
出 处:《Engineering》2024年第11期175-184,共10页工程(英文)
基 金:supported by the National Key R&D Program of China(2022YFD2002300);the Construction of Collaborative Innovation Center of Beijing Academy of Agricultural and Forestry Sciences(KJCX20240406);the National Natural Science Foundation of China(32071891);the earmarked fund(CARS-02 and CARS-054).
摘 要:Crop phenomics has rapidly progressed in recent years due to the growing need for crop functional geno-mics,digital breeding,and smart cultivation.Despite this advancement,the lack of standards for the cre-ation and usage of crop phenomics technology and equipment has become a bottleneck,limiting the industry’s high-quality development.This paper begins with an overview of the crop phenotyping indus-try and presents an industrial mapping of technology and equipment for big data in crop phenomics.It analyzes the necessity and current state of constructing a standard framework for crop phenotyping.Furthermore,this paper proposes the intended organizational structure and goals of the standard frame-work.It details the essentials of the standard framework in the research and development of hardware and equipment,data acquisition,and the storage and management of crop phenotyping data.Finally,it discusses promoting the construction and evaluation of the standard framework,aiming to provide ideas for developing a high-quality standard framework for crop phenotyping.
关 键 词:Crop phenomics Big data Phenotyping technology and equipment Standard framework Industrial mapping
分 类 号:S126[农业科学—农业基础科学] TP311.13[自动化与计算机技术—计算机软件与理论]
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