Plants (Apr 2023)

A Synthetic Review of Various Dimensions of Non-Destructive Plant Stress Phenotyping

  • Dapeng Ye,
  • Libin Wu,
  • Xiaobin Li,
  • Tolulope Opeyemi Atoba,
  • Wenhao Wu,
  • Haiyong Weng

DOI
https://doi.org/10.3390/plants12081698
Journal volume & issue
Vol. 12, no. 8
p. 1698

Abstract

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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.

Keywords