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Table 2 Summary of selected references applying hyperspectral imaging to seed viability and vigor detection

From: Hyperspectral imaging for seed quality and safety inspection: a review

Seed

Spectral rangea

Varieties

Sample numbers

Features

Signal mode

Data analysis strategies

Main application type

Classification result (highest accuracy)

References

Spectra/image

Extraction/selection methods

Analysis level

Classification/regression methods

Barley

900–1700 (1002–1626)

1 variety, 8 treatments

755

Spectra

PCA, MNF

Reflectance

PWb prediction map and OWc (single kernels)

Maximum likelihood multinomial, regression classifier

Germination level detection

97% when single kernels grouped into the three categories

Arngren et al. [28]

Corn

400–1000 (1000–2500)

3 varieties, 2 treatments

900

Spectra

No

Reflectance

OW (single kernels)

PLS-DA

Viability prediction

> 95.6%

Ambrose et al. [27]

Cryptomeria japonica and Chamaecyparis obtuse

400–980 (1250–2500)

2 treatments of each kind of seed

2320

Spectra

No

Reflectance

OW (single kernels)

Spectral index

Viability prediction

98.30%

Matsuda et al. [31]

Cucumber

400–1000(blue, green and red LED induced region)

1 variety, 2 treatments

200

Spectra

No

Reflectance

OW (single kernels), PW prediction map

PLS-DA

Viability prediction

100%

Mo et al. [32]

Muskmelon

948–2498

1 variety, 4 treatments

288

Spectra

VIP, SR, and SMC

Reflectance

OW (single kernels)

PLS-DA

Viability prediction

94.60%

Kandpal et al. [30]

Norway spruce

400–1000 (1000–2500)

1 variety, 3 treatments

1606

Spectra and image

L1-regularized logistic regression based feature selection

Reflectance

OW (single kernels)

SVM

Viability prediction

> 93%

Dumont et al. [29]

Pepper

400–1000(blue, green and red LED induced region)

1 variety, 2 treatments

600

Spectra

No

Reflectance

OW (single kernels), PW prediction map

PLS-DA

Germination level detection

> 85%

Mo et al. [33]

Tree seeds

392–889 (424–879)

3 varieties, 8 treatments

600

Spectra

LDA

Reflectance

OW (single kernels)

LDA

Germination level detection

> 79%

Nansen et al. [34]

Wheat, barley and sorghum

1000–2498

B: 3 varieties

W: 3 varieties

S: 2, varieties

6 treatments

1200

Spectra

PCA

Reflectance

OW (single kernels), PW prediction map

PLS-DA, PLSR

Viability prediction

R = 0.92 (PLS-DA)

McGoverin et al. [35]

  1. aThe spectral range without brackets relates to the range acquisition of instrument, while the spectral range in brackets represents the spectral range for practical analysis
  2. bPW means pixel-wise analysis, which is the analysis on the pixels
  3. cOW means objective-wise analysis, which means the analysis on ROIs (ROI can be bulk, single kernel or self-defined)