Combining frequency domain reflectometry and visible and near infrared spectroscopy for assessment of soil bulk density

Soil and Tillage Research

Volumn 135, Issue , 2014, Pages 60-70

  Al Asadi, Raed A ^a   Mouazen, Abdul M ^a  

^a CRANFIELD UNIVERSITY   (United Kingdom)

Author keywords

Bulk density; Data fusion; FDR; Multi sensor; Vis NIR spectroscopy

Indexed keywords

BULK DENSITY; FDR; FREQUENCY DOMAIN REFLECTOMETRY; MULTI SENSOR; PARTIAL LEAST SQUARES REGRESSIONS (PLSR); ROOT-MEAN-SQUARE ERROR OF PREDICTIONS; VIS-NIR SPECTROSCOPY; VISIBLE AND NEAR-INFRARED SPECTROSCOPY;

DATA FUSION; FORECASTING; FREQUENCY DOMAIN ANALYSIS; INFRARED DEVICES; LEAST SQUARES APPROXIMATIONS; MEAN SQUARE ERROR; MOISTURE DETERMINATION; NEAR INFRARED SPECTROSCOPY; NEURAL NETWORKS; REFLECTION; REFLECTOMETERS;

CALIBRATION;

ACCURACY ASSESSMENT; BULK DENSITY; CALIBRATION; FREQUENCY ANALYSIS; GRASSLAND; INFRARED SPECTROSCOPY; MOISTURE CONTENT; REFLECTANCE; REGRESSION ANALYSIS; SOIL ORGANIC MATTER;

EID: 84885937366     PISSN: 01671987     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.still.2013.09.002     Document Type: Article

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