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Items: 4

1.

Spectroscopic Diagnosis of Arsenic Contamination in Agricultural Soils.

Shi T, Liu H, Chen Y, Fei T, Wang J, Wu G.

Sensors (Basel). 2017 May 4;17(5). pii: E1036. doi: 10.3390/s17051036.

2.

Estimation of arsenic in agricultural soils using hyperspectral vegetation indices of rice.

Shi T, Liu H, Chen Y, Wang J, Wu G.

J Hazard Mater. 2016 May 5;308:243-52. doi: 10.1016/j.jhazmat.2016.01.022. Epub 2016 Jan 21.

PMID:
26844405
3.

Soil organic carbon content estimation with laboratory-based visible-near-infrared reflectance spectroscopy: feature selection.

Shi T, Chen Y, Liu H, Wang J, Wu G.

Appl Spectrosc. 2014;68(8):831-7. doi: 10.1366/13-07294.

PMID:
25061784
4.

Monitoring arsenic contamination in agricultural soils with reflectance spectroscopy of rice plants.

Shi T, Liu H, Wang J, Chen Y, Fei T, Wu G.

Environ Sci Technol. 2014 Jun 3;48(11):6264-72. doi: 10.1021/es405361n. Epub 2014 May 14.

PMID:
24804926

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