非破坏性植物胁迫表型分析各维度的综合综述
A Synthetic Review of Various Dimensions of Non-Destructive Plant Stress Phenotyping.
作者信息
Ye Dapeng, Wu Libin, Li Xiaobin, Atoba Tolulope Opeyemi, Wu Wenhao, Weng Haiyong
机构信息
College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Fujian Key Laboratory of Agricultural Information Sensing Technology, College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
出版信息
Plants (Basel). 2023 Apr 18;12(8):1698. doi: 10.3390/plants12081698.
Non-destructive plant stress phenotyping begins with traditional one-dimensional (1D) spectroscopy, followed by two-dimensional (2D) imaging, three-dimensional (3D) or even temporal-three-dimensional (T-3D), spectral-three-dimensional (S-3D), and temporal-spectral-three-dimensional (TS-3D) phenotyping, all of which are aimed at observing subtle changes in plants under stress. However, a comprehensive review that covers all these dimensional types of phenotyping, ordered in a spatial arrangement from 1D to 3D, as well as temporal and spectral dimensions, is lacking. In this review, we look back to the development of data-acquiring techniques for various dimensions of plant stress phenotyping (1D spectroscopy, 2D imaging, 3D phenotyping), as well as their corresponding data-analyzing pipelines (mathematical analysis, machine learning, or deep learning), and look forward to the trends and challenges of high-performance multi-dimension (integrated spatial, temporal, and spectral) phenotyping demands. We hope this article can serve as a reference for implementing various dimensions of non-destructive plant stress phenotyping.
非破坏性植物胁迫表型分析始于传统的一维（1D）光谱学，随后是二维（2D）成像、三维（3D）甚至是时间三维（T-3D）、光谱三维（S-3D）和时间光谱三维（TS-3D）表型分析，所有这些都是为了观察胁迫下植物的细微变化。然而，目前缺乏一篇全面的综述，涵盖所有这些维度类型的表型分析，并按照从1D到3D的空间排列顺序，以及时间和光谱维度进行排序。在本综述中，我们回顾了植物胁迫表型分析各个维度（1D光谱学、2D成像、3D表型分析）的数据获取技术的发展，以及它们相应的数据分析流程（数学分析、机器学习或深度学习），并展望了高性能多维度（综合空间、时间和光谱）表型分析需求的趋势和挑战。我们希望本文能为实施非破坏性植物胁迫表型分析的各个维度提供参考。
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