The aim of this work was to investigate the applicability of vis/NIR spectroscopy for rapid grape infection assessment in a view of a grape classification directly at the check point station entering the winery. The experimentation was conducted on white and red wine varieties, using grape bunches naturally infected with Botrytis cinerea, powdery mildew and sour rot, the major grape diseases. The research applied a compact vis/NIR device (400-1600 nm) for analysis of flows and/or non-homogeneous product. The results obtained from PLS-DA models, in validation, gave a positive predictive value (PPV) of classification between 89.8% and 94.0% for grape. The results demonstrated that optical devices are capable to provide useful information for a better management of the vinification process.

Application of visible/near infrared spectroscopy to assess the grape infection at the winery / A. Tugnolo, V. Giovenzana, R. Beghi, L. Brancadoro, R. Guidetti. - In: INFOWINE. - ISSN 1826-1590. - 2018:(2018 Oct), pp. 1-6. ((Intervento presentato al convegno Enoforum tenutosi a Vicenza nel 2017.

Application of visible/near infrared spectroscopy to assess the grape infection at the winery

A. Tugnolo;V. Giovenzana;R. Beghi;L. Brancadoro;R. Guidetti
2018-10

Abstract

The aim of this work was to investigate the applicability of vis/NIR spectroscopy for rapid grape infection assessment in a view of a grape classification directly at the check point station entering the winery. The experimentation was conducted on white and red wine varieties, using grape bunches naturally infected with Botrytis cinerea, powdery mildew and sour rot, the major grape diseases. The research applied a compact vis/NIR device (400-1600 nm) for analysis of flows and/or non-homogeneous product. The results obtained from PLS-DA models, in validation, gave a positive predictive value (PPV) of classification between 89.8% and 94.0% for grape. The results demonstrated that optical devices are capable to provide useful information for a better management of the vinification process.
Settore AGR/09 - Meccanica Agraria
Article (author)
File in questo prodotto:
File Dimensione Formato  
17492-1802-122-Giovenzana-Enoforum 2017-poster-arEN.pdf

non disponibili

Tipologia: Publisher's version/PDF
Dimensione 895.65 kB
Formato Adobe PDF
895.65 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/605052
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact