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Table 1 The applications of VIS–NIR spectroscopy in the study of fruit tree phenotypes

From: Phenotypic techniques and applications in fruit trees: a review

Applications

Species

Scale

Spectral range

Devices

Detected parameters

Evaluation parameters

Advantages

Limitations

References

Indices

Performance evaluation

Pigment and nutrient contents

Apple orchard

L

253–922 nm

Ocean Optics Fiber Spec

Chl

 

R = 0.91; RMSEP = 0.22

Easy to operate; non-destructive for leaves

More samples lead to longer testing time

[31]

L

350–2500 nm

FieldSpec 3

Chl

 

R2 = 0.6213

[30]

Vineyard

L

350–1000 nm

Ocean Optics USB2000

Chl

 

R2 = 0.8–0.9

[33]

Carotenoid

SIPI

R2 = 0.49

L

350–2500 nm

FieldSpec3

Moisture

 

R2 = 0.96

[34]

N

R2 = 0.95

Mg

R2 = 0.77

Water stress

Citrus orchard

T

350–2500 nm

FieldSpec Pro

Water status

 

R2 = 0.89

Obtain the spectral value directly; not affected by sunlight conditions

Detection at the orchard level is limited

[36]

Olive orchard

T

350–2500 nm

FieldSpec Pro

Ψleaf

NDGI

R2 = 0.57; RMSE = 0.37

[37]

MSI

R2 = 0.48; RMSE = 0.41

L

Ψleaf

MSI

R2 = 0.45; RMSE = 0.72

NDWI

R2 = 0.45; RMSE = 0.75

Vineyard

L

350–2500 nm

FieldSpec4

EWT

 

R2 = 0.681

[39]

T

325–1075 nm

FieldSpec Handheld2

Ψpd

VARI

R2 = 0.79;

[38]

NDGI

R2 = 0.79;

L

1600–2400 nm

Micro PHAZIR

Ψs

 

Rcv = 0.77–0.93

[40]

RWC

Rcv = 0.66–0.81

T

1100–2100 nm

NIR Spec

gs

 

R2 = 0.95

[41]

T

1100–2100 nm

PSS 2120

Ψs

 

R2 = 0.86

[42]

gs

R2 = 0.66

T

1100–2100 nm

PSS 2120

Ψs

 

R2 = 0.68–0.85

[43]

Biochemical parameters

Mango orchard

F

302–1148 nm

FieldSpec

TSS

 

R2 = 0.72

The method of data processing is simple

Interfered by the non-targets’ spectral information

[45]

TA

R2 = 0.64

Vineyard

F

570–900 nm

PSS 1050

TSS

 

R2 = 0.95

[46]

Anthocyanins

R2 = 0.79

Polyphenols

R2 = 0.43

  1. Note: In the “scale” column of the table, the fruit tree objects are divided into single leaves (L), individual trees (T) and fruits (F)