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.

中文翻译：

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作物表型组大数据技术与装备标准框架构建


由于对作物功能基因组学、数字育种和智能栽培的需求不断增长，作物表型组学近年来迅速发展。尽管取得了这些进展，但作物表型组学技术和设备的创建和使用标准的缺乏成为限制该行业高质量发展的瓶颈。本文首先概述了作物表型分析行业，并提出了作物表型组学大数据技术和设备的产业图谱。分析了构建作物表型标准框架的必要性和现状。此外，本文提出了标准框架的预期组织结构和目标。详细介绍了标准框架在作物表型数据的硬件设备研发、数据采集、存储和管理等方面的要点。最后探讨了推动标准框架的建设和评价，旨在为建立高质量的作物表型标准框架提供思路。