Hyperspectral Inversion of Heavy Metal Copper Content in Corn Leaves Based on DRS–XGBoost
Bing Wu,
Keming Yang,
Yanru Li
et al.
Abstract:This study proposes a method that is used for the nondestructive detection of copper content in corn leaves, which is achieved via visible–near infrared spectroscopy. In this paper, we collected the visible–near infrared spectral data of corn leaves that were planted in soils undergoing different gradients of heavy metal copper stress. Then, a preliminary pretreatment was carried out to obtain the original spectrum (OS), the continuous removal spectrum (CR), and the derivative of ratio spectroscopy (DRS). Sing… Show more
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