Extracting topsoil information from EM38DD sensor data using a neural network approach

Soil Science Society of America Journal

Volumn 73, Issue 6, 2009, Pages 2051-2058

  Cockx, L ^a   Van Meirvenne, M ^a   Vitharana, U W A ^b   Verbeke, L P C ^c   Simpson, D ^a   Saey, T ^a   Van Coillie, F M B ^a  

^a GHENT UNIVERSITY   (Belgium)

^b UNIVERSITY OF PERADENIYA   (Sri Lanka)

^c Geo Solutions ^*  (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; CLAY CONTENT; COEFFICIENT OF VARIATION; CONTEXTUAL INFORMATION; ELECTRICAL CONDUCTIVITY MEASUREMENTS; ESTIMATION ERRORS; INPUT LAYERS; SENSOR DATA; SIMILAR PATTERN; SOIL SAMPLE; SOIL SENSORS; SOIL TEXTURES; TEXTURAL INFORMATION; WATER CHANNELS;

BACKPROPAGATION; ELECTRIC CONDUCTIVITY; ELECTRIC CONDUCTIVITY MEASUREMENT; ELECTROMAGNETIC INDUCTION; NEURAL NETWORKS; SENSOR NETWORKS; SENSORS; SIGNAL PROCESSING; SOIL SURVEYS; SOILS; TEXTURES; WATER CONTENT;

CLAY MINERALS;

ARTIFICIAL NEURAL NETWORK; CLAY; DATA SET; ELECTRICAL CONDUCTIVITY; ELECTROMAGNETIC METHOD; SENSOR; SOIL SURVEY; SOIL TEXTURE; TOPSOIL;

EID: 72449144592     PISSN: 03615995     EISSN: None     Source Type: Journal    
DOI: 10.2136/sssaj2008.0277     Document Type: Article

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