The present work explores the possible utilization of hyperspectral devices, following a proximity based approach, for the diagnosis of Peronospora infection in the vineyards. It compares the performance of two hyperspectral cameras, characterized by different spectral acquisition ranges, in the identification of different levels of infection as detectable from the analysis of the leaf surface. For this purpose, healthy grapevine leaves and leaves affected by a different grade of Peronospora infection have been acquired in laboratory conditions using two different sensing devices: a Specim Imspector V10™ and a Specim Spectral Camera N17™ working in the region between 400-1000 nm and 1000-1700 nm, respectively. A Partial Least Squares Discriminant Analysis (PLS-DA) model has been built to perform the classification of healthy, infected and necrotic leaves.

Classification of Peronospora infected grapevine leaves with the use of hyperspectral imaging analysis / Serranti, S.; Bonifazi, G.; Luciani, V.; D'Aniello, L.. - ELETTRONICO. - 10217:(2017), pp. 1-13. (Intervento presentato al convegno Sensing for agriculture and food quality and safety IX tenutosi a Anaheim, California, USA nel 09-13 Aprile 2017) [10.1117/12.2255052].

Classification of Peronospora infected grapevine leaves with the use of hyperspectral imaging analysis

Serranti, S.
;
Bonifazi, G.;Luciani, V.;D'aniello, L.
2017

Abstract

The present work explores the possible utilization of hyperspectral devices, following a proximity based approach, for the diagnosis of Peronospora infection in the vineyards. It compares the performance of two hyperspectral cameras, characterized by different spectral acquisition ranges, in the identification of different levels of infection as detectable from the analysis of the leaf surface. For this purpose, healthy grapevine leaves and leaves affected by a different grade of Peronospora infection have been acquired in laboratory conditions using two different sensing devices: a Specim Imspector V10™ and a Specim Spectral Camera N17™ working in the region between 400-1000 nm and 1000-1700 nm, respectively. A Partial Least Squares Discriminant Analysis (PLS-DA) model has been built to perform the classification of healthy, infected and necrotic leaves.
2017
Sensing for agriculture and food quality and safety IX
grapevine leaves; hyperspectral imaging; Peronospora; vineyards
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Classification of Peronospora infected grapevine leaves with the use of hyperspectral imaging analysis / Serranti, S.; Bonifazi, G.; Luciani, V.; D'Aniello, L.. - ELETTRONICO. - 10217:(2017), pp. 1-13. (Intervento presentato al convegno Sensing for agriculture and food quality and safety IX tenutosi a Anaheim, California, USA nel 09-13 Aprile 2017) [10.1117/12.2255052].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1022338
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