Non-destructive methods for mango ripening prediction: Visible and near[1]infrared spectroscopy (visNIRS) and laser Doppler vibrometry (LDV): Data

del carmen Alamar Gavidia, MariaO'Brien, CiaraFalagan Sama, NataliaLandahl, SandraTerry, LeonKourmpetli, Sofia2024-06-102024-06-102024-03-12Alamar Gavidia, Maria del carmen; O'Brien, Ciara; Falagan Sama, Natalia; Landahl, Sandra; Terry, Leon; Kourmpetli, Sofia (2024). Non-destructive methods for mango ripening prediction: Visible and near[1]infrared spectroscopy (visNIRS) and laser Doppler vibrometry (LDV): Data. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.25381456https://dspace.lib.cranfield.ac.uk/handle/1826/22352This data set includes reference measurements (firmness, colour [lightness, chroma and hue angle], total soluble solids [TSS], individual sugar concentrations [glucose, fructose, sucrose]), as well as visible and near-infrared spectroscopic (vis-NIRS) data (nm) and resonant frequency measured by laser Doppler vibroemetry (LDV) on 'Keitt' and 'Kent' mango fruit.CC BY 4.0https://creativecommons.org/licenses/by/4.0/Mangifera indica''Firmness''Food loss''chemometrics methods''resonant frequency''postharvest'Non-destructive methods for mango ripening prediction: Visible and near[1]infrared spectroscopy (visNIRS) and laser Doppler vibrometry (LDV): DataDataset10.17862/cranfield.rd.25381456