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高通量作物表型分析概述:平台、图像分析、数据挖掘和数据管理。

An Overview of High-Throughput Crop Phenotyping: Platform, Image Analysis, Data Mining, and Data Management.

机构信息

National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.

出版信息

Methods Mol Biol. 2024;2787:3-38. doi: 10.1007/978-1-0716-3778-4_1.

Abstract

In this chapter, we explore the application of high-throughput crop phenotyping facilities for phenotype data acquisition and the extraction of significant information from the collected data through image processing and data mining methods. Additionally, the construction and outlook of crop phenotype databases are introduced and the need for global cooperation and data sharing is emphasized. High-throughput crop phenotyping significantly improves accuracy and efficiency compared to traditional measurements, making significant contributions to overcoming bottlenecks in the phenotyping field and advancing crop genetics.

摘要

在本章中,我们探讨了高通量作物表型设施在表型数据获取方面的应用,以及通过图像处理和数据挖掘方法从所收集的数据中提取有意义信息的方法。此外,还介绍了作物表型数据库的构建和展望,并强调了全球合作和数据共享的必要性。与传统测量相比,高通量作物表型显著提高了准确性和效率,为克服表型领域的瓶颈和推进作物遗传学做出了重要贡献。

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