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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作物表型组学大数据技术与装备的标准框架构建


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，近年来，作物表型组学发展迅速。尽管取得了这些进步，但作物表型组学技术和设备的创造和使用缺乏标准已成为瓶颈，制约了该行业的高质量发展。本文首先概述了作物表型行业，并介绍了作物表型组中大数据技术和设备的工业图谱。它分析了构建作物表型标准框架的必要性和现状。此外，本文还提出了标准框架的预期组织结构和目标。它详细介绍了标准框架在硬件和设备研发、数据采集以及作物表型数据的存储和管理方面的要点。最后，讨论了促进标准框架的构建和评价，旨在为制定高质量的作物表型标准框架提供思路。