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Optimization of NIR Spectral Data Management for Quality Control of Grape Bunches during On-Vine Ripening
2011
Sensors
NIR spectroscopy was used as a non-destructive technique for the assessment of chemical changes in the main internal quality properties of wine grapes (Vitis vinifera L.) during on-vine ripening and at harvest. A total of 363 samples from 25 white and red grape varieties were used to construct quality-prediction models based on reference data and on NIR spectral data obtained using a commercially-available diode-array spectrophotometer (380-1,700 nm). The feasibility of testing bunches of
doi:10.3390/s110606109
pmid:22163944
pmcid:PMC3231454
fatcat:67le7mdwcfdxfjueaffz5fvef4