René Gislum

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

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Use of partial least squares discriminant analysis on visible-near infrared multispectral image data to examine germination ability and germ length in spinach seeds. / Shetty, Nisha; Olesen, Merete Halkjær; Gislum, René; Deleuran, Lise Christina; Boelt, Birte.

In: Journal of Chemometrics, Vol. 26, No. 8-9, 2012, p. 462-466.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

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@article{6155440b35e44be68031905688e03d63,
title = "Use of partial least squares discriminant analysis on visible-near infrared multispectral image data to examine germination ability and germ length in spinach seeds",
abstract = "Because of the difficulties in obtaining homogenous germination of spinach seeds for baby leaf production, the possibility of using partial least squares discriminant analysis (PLS-DA) on features extracted from multispectral images of spinach seeds was investigated. The objective has been to discriminate between different seed sizes, as well as to predict germination ability and germ length. Images of 300 seeds including small, medium, and large seeds were taken, and the seeds were examined for germination ability and germ length. PLS-DA loadings plots were used to reduce the multidimensional image features to a few important features. The PLS-DA prediction resulted in an independent test set not only providing discrimination of seed size but also demonstrating how germination ability and germ length vary according to seed size. The result indicated that larger seeds had both a significantly higher germination potential and germ length compared with smaller seeds. The variable importance for projection method showed that the near infrared (NIR) wavelength region is important for germination predictability. However, the PLS-DA model did not improve when only the NIR region was used.",
keywords = "PLS-DA, germination ability, germ length, classification, VIS-NIR imaging, spinach seeds, seed size",
author = "Nisha Shetty and Olesen, {Merete Halkj{\ae}r} and Ren{\'e} Gislum and Deleuran, {Lise Christina} and Birte Boelt",
year = "2012",
doi = "10.1002/cem.1415",
language = "English",
volume = "26",
pages = "462--466",
journal = "Journal of Chemometrics",
issn = "0886-9383",
publisher = "John/Wiley & Sons Ltd.",
number = "8-9",

}

RIS

TY - JOUR

T1 - Use of partial least squares discriminant analysis on visible-near infrared multispectral image data to examine germination ability and germ length in spinach seeds

AU - Shetty, Nisha

AU - Olesen, Merete Halkjær

AU - Gislum, René

AU - Deleuran, Lise Christina

AU - Boelt, Birte

PY - 2012

Y1 - 2012

N2 - Because of the difficulties in obtaining homogenous germination of spinach seeds for baby leaf production, the possibility of using partial least squares discriminant analysis (PLS-DA) on features extracted from multispectral images of spinach seeds was investigated. The objective has been to discriminate between different seed sizes, as well as to predict germination ability and germ length. Images of 300 seeds including small, medium, and large seeds were taken, and the seeds were examined for germination ability and germ length. PLS-DA loadings plots were used to reduce the multidimensional image features to a few important features. The PLS-DA prediction resulted in an independent test set not only providing discrimination of seed size but also demonstrating how germination ability and germ length vary according to seed size. The result indicated that larger seeds had both a significantly higher germination potential and germ length compared with smaller seeds. The variable importance for projection method showed that the near infrared (NIR) wavelength region is important for germination predictability. However, the PLS-DA model did not improve when only the NIR region was used.

AB - Because of the difficulties in obtaining homogenous germination of spinach seeds for baby leaf production, the possibility of using partial least squares discriminant analysis (PLS-DA) on features extracted from multispectral images of spinach seeds was investigated. The objective has been to discriminate between different seed sizes, as well as to predict germination ability and germ length. Images of 300 seeds including small, medium, and large seeds were taken, and the seeds were examined for germination ability and germ length. PLS-DA loadings plots were used to reduce the multidimensional image features to a few important features. The PLS-DA prediction resulted in an independent test set not only providing discrimination of seed size but also demonstrating how germination ability and germ length vary according to seed size. The result indicated that larger seeds had both a significantly higher germination potential and germ length compared with smaller seeds. The variable importance for projection method showed that the near infrared (NIR) wavelength region is important for germination predictability. However, the PLS-DA model did not improve when only the NIR region was used.

KW - PLS-DA

KW - germination ability

KW - germ length

KW - classification

KW - VIS-NIR imaging

KW - spinach seeds

KW - seed size

U2 - 10.1002/cem.1415

DO - 10.1002/cem.1415

M3 - Journal article

VL - 26

SP - 462

EP - 466

JO - Journal of Chemometrics

JF - Journal of Chemometrics

SN - 0886-9383

IS - 8-9

ER -