Use of partial least squares discriminant analysis on visible-near infrared multispectral image data to examine germination ability and germ length in spinach seeds

Journal of Chemometrics

Volumn 26, Issue 8-9, 2012, Pages 462-466

  Shetty, Nisha ^a   Olesen, Merete Halkjær ^a   Gislum, René ^a   Deleuran, Lise Christina ^a   Boelt, Birte ^a  

^a AARHUS UNIVERSITY   (Denmark)

Author keywords

Classification; Germ length; Germination ability; PLS DA; Seed size; Spinach seeds; VIS NIR imaging

Indexed keywords

CULTIVATION; DISCRIMINANT ANALYSIS; IMAGE ANALYSIS; INFRARED DEVICES; LEAST SQUARES APPROXIMATIONS;

BABY LEAF; GERM LENGTH; GERMINATION ABILITY; MULTI-SPECTRAL IMAGE DATA; NEAR-INFRARED IMAGING; PARTIAL LEAST SQUARES DISCRIMINANT ANALYSES (PLSDA); SEED SIZE; SPINACH SEEDS; VIS-NEAR INFRARED IMAGING; VISIBLE NEAR-INFRARED;

GERMINATION;

EID: 84865184232     PISSN: 08869383     EISSN: 1099128X     Source Type: Journal    
DOI: 10.1002/cem.1415     Document Type: Article

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