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Palabras clave – provistas por la editorial

hyperspectral; spatial-spectral features; classification; principal component analysis; convolutional neural network; near infrared spectra; chemometry; dry meat; artificial neural networks; organoleptic parameters; prediction; protected geographical indication distinguishing; near infrared; vitamin C; ellagic acid; wild harvest; Kakadu plum; chemometrics; proximal sensing; precision agriculture; E. coli; S. typhimurium; biofilm; hyperspectral imaging; discriminant analysis; pesticide residues; spectroscopy; PLS; soft computing; algorithm; NIRS; muscle; bovine; MUFA; PUFA; SFA; NIR spectrometer; intact potato; dry matter; reducing sugars; MPLS; pepper leaf; SPAD value; hyperspectral inversion; characteristic waveband selection; NIR; calibration models; PLS-R; volatile phenols; aged wine spirit; breast milk quality control; handheld; olive oil; near-infrared spectroscopy; quality parameters; mangetout; pea pod; near-infrared reflectance spectroscopy; n/a