An overview is given of near infrared (NIR) spectroscopy for use in measuring quality
attributes of horticultural produce. Different spectrophotometer designs and measurement …

Grape and wine phenolics are structurally diverse, from simple molecules to oligomers and
polymers usually designated as tannins. They have an important impact on the organoleptic …

The goal of building a multivariate calibration model is to predict a chemical or physical
property from a set of predictor variables, for example the analysis of sugar concentration in …

Spectroscopic techniques such as near infrared (NIR) spectroscopy are used in the food
industry to monitor and assess the composition and quality of products. Similar to other food …

Methods based on multiple linear regression (MLR) relate variations in the selected
response (y) to the variations of several linearly independent predictors (x) with the purpose …

The non-destructive method developed based on hyperspectral imaging (HSI) and
electronic nose (E-nose) to rapidly detect microbial content and quality attributes of …

The potential of near infrared spectroscopy (NIRS) to determine the content of phenolic
compounds in red grapes has been evaluated. The near infrared spectra of intact grapes …

Measurement of fresh tomato fruit overall quality, and particularly lycopene content, is
challenging in the context of high-volume production. An experiment was conducted to …

Two different approaches, PLS regression and neural networks, were compared for
monitoring the quality of grapes using sugar content predictions based on hyperspectral …

This work presents the results of measuring pH, sugars, and anthocyanin content of whole
grape berries. The spectrum of each sample, composed of six whole grape berries, was …