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High-throughput analysis of leaf physiological and chemical traits with VIS–NIR–SWIR spectroscopy: a case study with a maize diversity panel

DOI: 10.1186/s13007-019-0450-8

Keywords: Hyperspectral, Plant phenotyping, Partial least squares regression, Support vector regression, Machine learning, Vegetation indices, Macronutrients

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Abstract:

Boxplots comparing the leaf properties of maize plants from Field??N, Field +?N, and greenhouse groups. The groups assigned to different letters indicated their means were different by Tukey’s Honest Significant Difference test (p value?<?0.05

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