Standard Framework Construction of Technology and Equipment for Big Data in Crop Phenomics

文献类型： 外文期刊

第一作者： Wen, Weiliang

作者： Wen, Weiliang;Gu, Shenghao;Zhang, Ying;Guo, Xinyu;Wen, Weiliang;Gu, Shenghao;Zhang, Ying;Guo, Xinyu;Yang, Wanneng;Yang, Wanneng

作者机构：

关键词： Crop phenomics; Big data; Phenotyping technology and equipment; Standard framework; Industrial mapping

期刊名称：ENGINEERING （ 影响因子：11.6； 五年影响因子：13.1 ）

ISSN： 2095-8099

年卷期： 2024 年 42 卷

页码：

收录情况： SCI

摘要： Crop phenomics has rapidly progressed in recent years due to the growing need for crop functional genomics, digital breeding, and smart cultivation. Despite this advancement, the lack of standards for the creation 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 industry 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 framework. 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. (c) 2024 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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