Abstract

Near-infrared spectroscopy was evaluated as a means to quantify the nitrogen content in fresh cotton leaves (<i>Gossypium hirsutum</i> L. var. Delta Pine 90) subjected to a factorial design experiment of varying nitrogen and water applications. Absorbance spectra were collected in the 10 000-4000 cm^-1 (1000-2500 nm) region from fresh cotton leaves over a two month portion of the growing season. Total nitrogen content was quantified by a wet chemistry Kjeldahl method for validation purposes. Partial least-squares regression analysis, using an automated grid search method, selected the spectral region 6041 to 5651 cm^-1 (1650-1770 nm) for analysis based on having the lowest standard error of prediction of total nitrogen content. This region includes protein spectral features. Nitrogen predictions resulted in a correlation coefficient of 0.83, and a standard error of prediction of 0.29% for nitrogen levels ranging from 3.1 to 5.2% total nitrogen. This approach has promise for providing rapid plant chemical analyses for cotton crop fertilization management purposes.

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Elemental analysis of cotton by laser-induced breakdown spectroscopy

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Nondestructive nitrogen content estimation in tomato plant leaves by Vis-NIR hyperspectral imaging and regression data models

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J. Opt. Soc. Am. A 16(6) 1266-1267 (1999)

Establishing NDRE dynamic models of winter wheat under multi-nitrogen rates based on a field spectral sensor

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Appl. Opt. 60(4) 993-1002 (2021)