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AbstractBACKGROUNDRecent studies have reported the potential of near infrared (NIR) spectral analysers for monitoring the ripeness of grape berries as an alternative to wet chemistry methods. This study covers various aspects regarding the calibration and implementation of predictive models of total soluble solids (TSS) in grape berries using laboratory and in‐field collected NIR spectra.RESULTSThe performance of the calibration models obtained under laboratory conditions indicated that at least 700 berry samples are required to assure enough prediction accuracy. A statistically significant error reduction (ΔRMSECV = 0.1°Brix) with P < 0.001 was observed when measuring berries without epicuticular wax, which was negligible from a practical point of view. Under field conditions, the prediction errors (RMSEP = 1.68°Brix, and SEP = 1.67°Brix) were close to those obtained with the laboratory dataset (RMSEP = 1.42°Brix, SEP = 1.40°Brix).CONCLUSIONThis work clarifies several methodological factors to develop a protocol for in‐field assessing TSS in grape berries using an affordable, non‐invasive, portable NIR spectral analyser. © 2015 Society of Chemical Industry
Crops, Agricultural, Quality Control, Databases, Factual, Non-invasive s ensor, Guidelines as Topic, Pharmacy, Materials Testing, Food Quality, Vitis, Chemometrics, Precision viticulture, Total soluble solids content, Principal Component Analysis, Models, Statistical, Spectroscopy, Near-Infrared, NIR spectroscopy, Reproducibility of Results, Signal Processing, Computer-Assisted, Food Inspection, Non-invasive sensor, Crop Production, Data Accuracy, Refractometry, NIR spectroscopy, precision viticulture, non-invasive sensor, chemometrics, total soluble solids content, Solubility, Spain, Fruit, Calibration
Crops, Agricultural, Quality Control, Databases, Factual, Non-invasive s ensor, Guidelines as Topic, Pharmacy, Materials Testing, Food Quality, Vitis, Chemometrics, Precision viticulture, Total soluble solids content, Principal Component Analysis, Models, Statistical, Spectroscopy, Near-Infrared, NIR spectroscopy, Reproducibility of Results, Signal Processing, Computer-Assisted, Food Inspection, Non-invasive sensor, Crop Production, Data Accuracy, Refractometry, NIR spectroscopy, precision viticulture, non-invasive sensor, chemometrics, total soluble solids content, Solubility, Spain, Fruit, Calibration
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