Application of unsupervised clustering methods to the assessment of malodour in agriculture using an array of conducting polymer odour sensors

Computers and Electronics in Agriculture

Volumn 17, Issue 2, 1997, Pages 233-247

  Byun, Hyung Gi ^a   Persaud, Krishna C ^a   Khaffaf, Soad Mohialdin ^a   Hobbs, Philip J ^b   Misselbrook, Tom H ^b  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b ABERYSTWYTH UNIVERSITY   (United Kingdom)

Author keywords

Agricultural malodours; Conducting polymer odour sensors; Principal components analysis; Sammon mapping; Unsupervised cluster analysis

Indexed keywords

AGRICULTURAL WASTES; ALGORITHMS; CONDUCTIVE PLASTICS; DATABASE SYSTEMS; EIGENVALUES AND EIGENFUNCTIONS; INVARIANCE; MATHEMATICAL TRANSFORMATIONS; ODORS; SENSOR DATA FUSION; SLURRIES;

AGRICULTURAL MALODOURS; CONDUCTING POLYMER ODOUR SENSORS; EUCLIDEAN DISTANCE MAPPING; ODOR SENSING INSTRUMENTATION; PRINCIPAL COMPONENTS ANALYSIS; SAMMON MAPPING; UNSUPERVISED CLUSTER ANALYSIS;

CHEMICAL SENSORS;

EID: 0031147483     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0168-1699(96)01307-5     Document Type: Article

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