Methodological study demonstrates automated root segmentation and spectral signature profiling in soil-grown plants, highlighting hyperspectral imaging for non-destructive rhizosphere analysis.
Fundamentals for root phenotyping using hyperspectral imaging have been established by means of an image processing pipeline for automated segmentation of soil-grown plant roots at a high spatial resolution and for the exploration of spectral signatures encoding physico-chemical root zone properties.
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Bodner et al. (2018) studied this question.
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