Rapid Identification of Rice Samples Using an Electronic Nose

Journal of Bionic Engineering

Volumn 6, Issue 3, 2009, Pages 290-297

  Zheng, Xian zhe ^a   Lan, Yu bin ^b   Zhu, Jian min ^c   Westbrook, John ^b   Hoffmann, W C ^b   Lacey, R E ^d  

^a NORTHEAST AGRICULTURAL UNIVERSITY   (China)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

^c FORT VALLEY STATE UNIVERSITY   (United States)

^d Texas A M University   (United States)

Author keywords

data analysis; electronic nose; identification; pattern recognition; rice grain

Indexed keywords

ANALYTICAL PROCEDURE; CHEMICAL COMPOSITIONS; CLASSIFICATION ACCURACY; DATA ANALYSIS; ELECTRONIC NOSE; GRAIN TYPES; IDENTIFICATION; MULTIPLE SAMPLES; OPTIMUM PARAMETERS; POLYMER SENSORS; RAPID IDENTIFICATION; RICE GRAIN; RICE SAMPLES; SENSOR SELECTION; TRAINING MODEL; TRAINING PROCESS;

ARTIFICIAL ORGANS; DATA PROCESSING; PATTERN RECOGNITION; SENSORS;

GRAIN (AGRICULTURAL PRODUCT);

EID: 70349947393     PISSN: 16726529     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1672-6529(08)60122-5     Document Type: Article

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