Using targeted sampling to process multivariate soil sensing data

Geoderma

Volumn 163, Issue 1-2, 2011, Pages 63-73

  Adamchuk, Viacheslav I ^a   Viscarra Rossel, Raphael A ^b   Marx, David B ^c   Samal, Ashok K ^d  

^a MCGILL UNIVERSITY   (Canada)

^b CSIRO   (Australia)

^c UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^d UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Electrical conductivity; On the go soil sensing; Soil pH; Targeted sampling

Indexed keywords

AGRICULTURAL FIELDS; AGRONOMIC PARAMETERS; ANALYTICAL METHODOLOGY; AUTOMATED SELECTION; ELECTRICAL CONDUCTIVITY; ION ACTIVITIES; LABORATORY TESTING; LATIN HYPERCUBE SAMPLING; LOW COSTS; MANAGEMENT DECISIONS; MAXIMUM OBJECTIVE FUNCTION; MECHANICAL RESISTANCE; MULTIPLE SENSORS; OBJECTIVE FUNCTIONS; ON-THE-GO SOIL SENSORS; OPTICAL REFLECTANCE; SAMPLING LOCATION; SAMPLING SITE; SAMPLING STRATEGIES; SENSOR DATA; SENSOR OUTPUT; SITE-SPECIFIC; SOIL PH; SOIL PROPERTY; SOIL SENSING; SOIL TREATMENTS; SPATIAL UNIFORMITY; SPATIAL VARIABILITY; TARGETED SAMPLING;

CALIBRATION; ELECTRIC CONDUCTIVITY; MECHANICAL PROPERTIES; SENSORS; SITE SELECTION;

SOILS;

AGRICULTURAL SOIL; CALIBRATION; DATA MANAGEMENT; ELECTRICAL CONDUCTIVITY; HOMOGENEITY; MULTIVARIATE ANALYSIS; PH; REFLECTANCE; SAMPLING; SENSOR; SOIL ANALYSIS; SOIL PROPERTY;

EID: 79955974982     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2011.04.004     Document Type: Article

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