Multi-class differentiation of cannabis seedlings in a forensic context

Chemometrics and Intelligent Laboratory Systems

Volumn 107, Issue 2, 2011, Pages 343-350

  Broséus, Julian ^a   Vallat, Morgan ^a   Esseiva, Pierre ^a  

^a UNIVERSITY OF LAUSANNE   (Switzerland)

Author keywords

Cannabis; Classification; Supervised learning

Indexed keywords

CANNABIS; ILLICIT DRUG;

ADULT PLANT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION ALGORITHM; CLASSIFIER; CONTROLLED STUDY; COST BENEFIT ANALYSIS; DISCRIMINANT ANALYSIS; FORENSIC IDENTIFICATION; INTERMETHOD COMPARISON; K NEAREST NEIGHBOR; LEARNING VECTOR QUANTIZATION; LINEAR SYSTEM; MASS FRAGMENTOGRAPHY; NONHUMAN; PARTIAL LEAST SQUARES REGRESSION; PLANT FIBER; PLANT GROWTH; PLANT LEAF; PRIORITY JOURNAL; PROCESS OPTIMIZATION; RADIAL BASIS FUNCTION SUPPORT VECTOR MACHINE; RANDOM FOREST; SEEDLING; VALIDATION PROCESS; VARIETAS;

EID: 80955178351     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2011.05.004     Document Type: Article

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