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Volumn 1, Issue , 2009, Pages 668-676
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Research on soil moisture detection based on data fusion of near-infrared spectroscopy and machine vision
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Author keywords
BP neural network; Machine vision; Near infrared; Soil moisture
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Indexed keywords
BP NEURAL NETWORKS;
BROWN SOIL;
CROSS VALIDATION;
DIRECT IMPACT;
FUSION TECHNOLOGY;
HOME NETWORKS;
HUBEI PROVINCE;
IMAGE CHARACTERISTICS;
IMAGE PARAMETERS;
LOESS SOILS;
MACHINE VISION;
MICRO-CLIMATE;
NEAR INFRARED;
NEURAL NETWORK MODEL;
PADDY SOILS;
PREDICTION MODEL;
SOIL MOISTURE ANALYSIS;
SOIL SURFACES;
SOIL WATER CONTENT;
VALIDATION ANALYSIS;
WATER SAMPLES;
WATER SATURATED SOILS;
AGRICULTURAL MACHINERY;
BLOCK CODES;
COMPUTER VISION;
FORECASTING;
GEOLOGIC MODELS;
GROUNDWATER;
INFRARED DEVICES;
MATHEMATICAL MODELS;
MEAN SQUARE ERROR;
MECHANICAL PROPERTIES;
MOISTURE DETERMINATION;
NEURAL NETWORKS;
PERMITTIVITY;
PERSONAL COMMUNICATION SYSTEMS;
SOIL MOISTURE;
SPECTROSCOPIC ANALYSIS;
SPECTRUM ANALYSIS;
TEXTILES;
UNDERWATER SOILS;
WATER ANALYSIS;
WATER CONTENT;
INFRARED SPECTROSCOPY;
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EID: 76549087963
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper |
Times cited : (1)
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References (14)
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