Estimation of total soluble solids in grape berries using a hand-held NIR spectrometer under field conditions
BACKGROUND: Recent 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 solub...
| Autores: | , , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2016 |
| País: | España |
| Recursos: | Universidad de La Rioja (UR) |
| Repositorio: | RIUR. Repositorio Institucional de la Universidad de La Rioja |
| OAI Identifier: | oai:portal.dialnet.es:doc/5bbc6870b750603269e808f1 |
| Acesso em linha: | https://investigacion.unirioja.es/documentos/5bbc6870b750603269e808f1 |
| Access Level: | acceso abierto |
| Palavra-chave: | Chemometrics NIR spectroscopy Non-invasive sensor Precision viticulture Total soluble solids content |
| Resumo: | BACKGROUND: Recent 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. RESULTS: The 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). CONCLUSION: This 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. © 2016 Society of Chemical Industry. |
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