Research on soil moisture detection based on data fusion of near-infrared spectroscopy and machine vision

American Society of Agricultural and Biological Engineers Annual International Meeting 2009, ASABE 2009

Volumn 1, Issue , 2009, Pages 668-676

  Xiao, Wu ^a   Li, Xiaoyu ^a   Li, Peiwu ^b   Elbashir, M A ^a,c   Wei, Wang ^a   Yaoze, Feng ^a  

^a HUAZHONG AGRICULTURAL UNIVERSITY   (China)

^b China Agriculture (Citrus) Research System   (China)

^c UNIVERSITY OF GEZIRA   (Sudan)

Author keywords

BP neural network; Machine vision; Near infrared; Soil moisture

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;

EID: 76549087963     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

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