The aim of this work was to investigate the applicability of vis/NIR spectroscopy for rapid assessment of grape phytosanitary status, directly at the check point at grape consignment. A device for non-contact analysis at a distance between sensor and sample of 300 mm, in the spectral range 400-1650 nm was used. Acquisitions were carried out on healthy (1235 samples, 48%) and diseased bunches (1324 samples, 52%) from different white (Chardonnay, Grillo, Inzolia, Viognier) and red (Alicante, Nero d'Avola, Syrah) varieties.A classification analysis (Partial Least Squares - Discriminant Analysis, PLS-DA) was applied on grape spectra in order to test the classification performance of the system. The results obtained from PLS-DA models, in validation, gave a classification accuracy between 89.8% and 94.0%. Results demonstrated that the system is capable to provide useful information about wine grape phytosanitary status for a better management of the vinification process.
Rapid evaluation of grape phytosanitary status directly at the check point station entering the winery by using visible/near infrared spectroscopy / R. Beghi, V. Giovenzana, L. Brancadoro, R. Guidetti. - In: JOURNAL OF FOOD ENGINEERING. - ISSN 0260-8774. - 204(2017 Jul), pp. 46-54. [10.1016/j.jfoodeng.2017.02.012]
Rapid evaluation of grape phytosanitary status directly at the check point station entering the winery by using visible/near infrared spectroscopy
R. BeghiPrimo
;V. Giovenzana
;L. BrancadoroPenultimo
;R. GuidettiUltimo
2017
Abstract
The aim of this work was to investigate the applicability of vis/NIR spectroscopy for rapid assessment of grape phytosanitary status, directly at the check point at grape consignment. A device for non-contact analysis at a distance between sensor and sample of 300 mm, in the spectral range 400-1650 nm was used. Acquisitions were carried out on healthy (1235 samples, 48%) and diseased bunches (1324 samples, 52%) from different white (Chardonnay, Grillo, Inzolia, Viognier) and red (Alicante, Nero d'Avola, Syrah) varieties.A classification analysis (Partial Least Squares - Discriminant Analysis, PLS-DA) was applied on grape spectra in order to test the classification performance of the system. The results obtained from PLS-DA models, in validation, gave a classification accuracy between 89.8% and 94.0%. Results demonstrated that the system is capable to provide useful information about wine grape phytosanitary status for a better management of the vinification process.File | Dimensione | Formato | |
---|---|---|---|
Rapid evaluation of grape phytosanitary status directly at the check point station .pdf
accesso riservato
Tipologia:
Publisher's version/PDF
Dimensione
1.38 MB
Formato
Adobe PDF
|
1.38 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.