Non-biased prediction of soil organic carbon and total nitrogen with vis-NIR spectroscopy, as affected by soil moisture content and texture

Biosystems Engineering

Volumn 114, Issue 3, 2013, Pages 249-258

  Kuang, Boyan ^a   Mouazen, Abdul M ^a  

^a CRANFIELD UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION MODEL; CLAY CONTENT; IN-FIELD; MEASUREMENT ACCURACY; ON-LINE MEASUREMENT; PARTIAL LEAST SQUARES MODELS; ROOT-MEAN-SQUARE ERROR OF PREDICTIONS; SOIL CONDITIONS; SOIL ORGANIC CARBON; SOIL SAMPLE; STANDARD DEVIATION; TOTAL NITROGEN; VIS-NIR SPECTROSCOPY; VISIBLE AND NEAR INFRARED;

FORECASTING; INFRARED DEVICES; MEAN SQUARE ERROR; MOISTURE DETERMINATION; NEAR INFRARED SPECTROSCOPY; SOIL MOISTURE; TEXTURES;

SOIL SURVEYS;

EID: 84873261922     PISSN: 15375110     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystemseng.2013.01.005     Document Type: Article

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