Research Progress of Spectral Imaging Techniques in Plant Phenotype Studies

Abstract

Spectral imaging technique has been widely applied in plant phenotype analysis to improve plant trait selection and genetic advantages. The latest developments and applications of various optical imaging techniques in plant phenotypes were reviewed, and their advantages and applicability were compared. X-ray computed tomography (X-ray CT) and light detection and ranging (LiDAR) are more suitable for the three-dimensional reconstruction of plant surfaces, tissues, and organs. Chlorophyll fluorescence imaging (ChlF) and thermal imaging (TI) can be used to measure the physiological phenotype characteristics of plants. Specific symptoms caused by nutrient deficiency can be detected by hyperspectral and multispectral imaging, LiDAR, and ChlF. Future plant phenotype research based on spectral imaging can be more closely integrated with plant physiological processes. It can more effectively support the research in related disciplines, such as metabolomics and genomics, and focus on micro-scale activities, such as oxygen transport and intercellular chlorophyll transmission.

Plant phenotyping relevance

植物表現型に用いるスペクトル画像技術を体系的にレビューし、各手法の適用性や比較を扱っているため、方法論レビューとして中心的です。

Code and data availability

This is a review article summarizing spectral imaging applications in plant phenotyping. The supplied blocks contain no paper-specific phenotype datasets, images, sensor data, analysis code, models, or supplements with such assets; all measurements and methods belong to cited prior work.

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