$\sqrt{Ref}$	Square Root of Reflectance
1/Ref	Inverse Reflectance
1D-CNN	The One-Dimensional Convolutional Neural Network
1st der.	1st derivative
2nd der.	2nd derivative
AA	Amino Acid
ABTS	2,2′-Azinobis-(3-ethylbenzothiazoline-6-sulfonic acid
AC	Accuracy
AC	Antioxidant Capacity
ANN	Artificial Neural Network
ASCA	ANOVA–Simultaneous Component Analysis
ASR	Averagely Segmentation of Spectral Graph Area-to-Perimeter Ratio Characteristic
BC	Baseline Correction
biPLS	Backward Interval Partial Least Squares
BLC	Base Line Correction
CARS	Competitive Adaptive Reweighted Sampling
CBAM-CNN	Convolutional Block Attention ModuleConvolutional Neural Networks
CC	Column Centering
CG	Gallocatechin
CT	Cooked Texture
CV	Computer Vision
DA	Discriminant Analysis
DMVN	Diagonal Modified Confusion Entropy
DPPH	2,2-Diphenyl-1-picrylhydrazyl
DT	Detrend
DW	Dry Weight
ECG	Epicatechin Gallocatechin
EGC	Epigallocatechin
EGCG	Epigallocatechin Gallate
EMSC	Extended Multiplicative Scatter Correction
EN	Electronic Nose
EPO	External Parameter Orthogonalization
Exp(R)	Exponential Reflectance
F	Fresh
FA	fatty acid
Fint	Average values of the forces measured after failure point, the Flesh shearing (g)
FiLDA	Fuzzy Feature Extraction Method, Called Improved Null Linear Discriminant Analysis
FM	Fresh Muscle
FRAP	Ferric Reducing Ability of Plasma
FrD	freeze dried
GA	Genetic Algorithm
GAEq	Gallic acid equivalent
GCG	Gallocatechin Gallate
GLSW	Generalized Least Square Weighting
GSA	Gravitational Search Algorithm
HIS	Hyperspectral Imaging
ICA	Independent Component Analysis
inLDA	Improved Null Linear Discriminant Analysis
IMF	Intramuscular Fat
iPLS	Interval Partial Least Squares Regression
IPW-PLS	Iterative Predictor Weighting
IRIV	Iteratively Retaining Informative Variables
ISE-PLS	Iterative Stepwise Elimination PLS
KM	Kubelka-Munk spectra
kNN	k-nearest Neighbour
KPLS	Kernel PLS
LARS	Least Angle Regression
LDBN	Linear Deep Belief Network
Ln(Ref)	Base 10 Logarithmic Scale of the Reflectance Data
LS-SVM	Least-Squares Support-Vector Machines
LVA	Latent Variables Analysis
LWR-PLS	Locally Weighted Regression PLS
MAD	Mean Absolute Deviation
MC	Mean Centering
MCR-ALS	Multivariate Curve Resolution-Alternating Least Squares
MC-UVE-SPA	Monte Carlo Uninformative Variable Elimination Combining Successive Projections Algorithm
MD-DA	Mahalanobis discriminant analysis
MEMS	Microelectromechanical System
MH	Mahalanobis Distance
MLP	Multilayer Perceptron
MLR	Multiple Linear Regression
MN	Mean Normalized
MPLS	Modified Partial Least Square
MSC	Multiplicative Scatter Correction
MSE	Mean Square Error
MUFA	Monounsaturated Fatty Acid
MWPLS	Moving Window Partial Least Squares Regression
n.d.	Not Detected
n.i.	No Information
n.p.	No Pre-processing
NB	Naïve bayes
NCL	Normalization by Closure
OC	Offset correction
OCC	One-Class Classifiers
OLS	Ordinary Least Squares
OLSR	Ordinary Least Squares Regression
OPS	Ordered Predictors Selection
ORAC	Oxygen Radical Absorbance Capacity—μMol Eq trolox/g
OSC	Orthogonal Signal Correction
OWAVEC	Combination of Wavelet Analysis and an Orthogonalization Algorithm
PCA	Principal Component Analysis
PCR	Principal Component Regression
Pe	Penetrating Energy in the Flesh
PLS	Partial Least Squares
PLS2-CM	PLS Soft Multiclass Compliant Classification Method
PLS-DA	Partial Least Squares Discriminant Analysis
PLS-kNN	K Nearest Neighbours—PLS
PLSR	Partial Least Squares Regression
PR	Prediction Rate
PSP	Purple Sweet Potato
PUFA	Polyunsaturated Fatty Acid
RBF-NN	Radial Basis Function Neural Networks
RS	Range Scaling
RC	Regression Coefficient
Ref2	Square of Reflectance
RF	Random Forest
RMSECV	Root Mean Square Error of Cross Validation
RMSEP	Root Mean Square Error of Prediction
ROC	Receiver Operating Characteristic
RR	Recognition Rate
RS	Raw Spectra
RT	Raw Texture
S	Smoothing
SENS	Sensitivity
SFA	Saturated Fatty Acid
SGS	Savitzky–Golay Smoothing
siPLS	Synergy Interval PLS
siSVR	Synergy Interval Support Vector Regression
SLS	Straight Line Subtraction
SMLR	Stepwise Multiple Linear Regression
SNV	Standard Normal Variate
SNV, DT	Standard Normal Variate transformation combined with Detrend
SPA	Successive Prediction Algorithm
SPEC	Specificity
SRRC	Stepwise Regression Combined with the Regression Coefficient
SS	Stability Selection
SSC	Soluble Solid Content
SVD	Singular Value Decomposition
SVM	Support Vector Machines
SVMc	Support Vector Machine Classification
TA	Titratable Acidity
TAC	Total Anthocyanin Content
TAC	total antioxidant capacity
TBARS	degree of lipid oxidation
TCA	Transfer Component Analysis
TEAC	Trolox Equivalent Antioxidant Capacity—μMol Eq trolox/g
TPC	Total Phenolic Content
Tr	Trolox
UVE	Uninformative Variable Elimination
VIP PLS	Variable Importance PLS
VN	Vector Normalisation
WHC	Water Holding Capacity
Wp	Mechanical Work Needed to Reach Failure Point (gmm)
WSP	White Sweet Potato