Improved Na+ estimation from hyperspectral data of saline vegetation by machine learning

Computers and Electronics in Agriculture(2022)

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摘要
•Combinations of multiple vegetation indices were used to estimate Na + in leaves of saline vegetation.•The ABT and RF variable screening methods were introduced to optimize the prediction model.•Important variables reflecting Na+ in leaves of saline vegetation were screened.
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关键词
Spectral index,Machine learning,Saline vegetation,Variable importance
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