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Table 2 Estimation error for different multiple linear models used to estimate chlorophyll content for various imaging technology

From: High throughput analysis of leaf chlorophyll content in sorghum using RGB, hyperspectral, and fluorescence imaging and sensor fusion

Imaging technology

Component

Regression

R2

AIC

Visible image

R

y = a0 + a1R + a2DAS

0.56

3630

y = b0 + b1R + b2DAS + b3SLW

0.77

3440

G

y = a0 + a1G + a2DAS

0.64

3569

y = b0 + b1G + b2DAS + b3SLW

0.79

3413

B

y = a0 + a1B + a2DAS

0.48

3680

y = b0 + b1B + b2DAS + b3SLW

0.70

3513

H

y = a0 + a1H + a2DAS

0.61

3589

y = b0 + b1H + b2DAS + b3SLW

0.67

3539

S

y = a0 + a1S + a2DAS

0.85

3309

y = b0 + b1S + b2DAS + b3SLW

0.88

3252

I

y = a0 + a1I + a2DAS

0.57

3621

y = b0 + b1I + b2DAS + b3SLW

0.77

3440

Hyperspectral image

NDVI

y = a0 + a1NDVI + a2DAS

0.68

3488

y = b0 + b1NDVI + b2DAS + b3SLW

0.77

3395

RVI

y = a0 + a1RVI + a2DAS

0.69

3475

y = b0 + b1RVI + b2DAS + b3SLW

0.77

3383

MCARI

y = a0 + a1MCARI + a2DAS

0.69

3471

y = b0 + b1MCARI + b2DAS + b3SLW

0.78

3375

Fluorescence image

 

y = a0 + a1Fluo + a2DAS

0.69

3519

y = b0 + b1Fluo + b2DAS + b3SLW

0.79

3404