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Proceedings Paper

Classification of Peronospora infected grapevine leaves with the use of hyperspectral imaging analysis
Author(s): S. Serranti; G. Bonifazi; V. Luciani; L. D'Aniello
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Paper 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.

Paper Details

Date Published: 1 May 2017
PDF: 13 pages
Proc. SPIE 10217, Sensing for Agriculture and Food Quality and Safety IX, 102170N (1 May 2017); doi: 10.1117/12.2255052
Show Author Affiliations
S. Serranti, Sapienza Univ. di Roma (Italy)
G. Bonifazi, Sapienza Univ. di Roma (Italy)
V. Luciani, Sapienza Univ. di Roma (Italy)
L. D'Aniello, Sapienza Univ. di Roma (Italy)


Published in SPIE Proceedings Vol. 10217:
Sensing for Agriculture and Food Quality and Safety IX
Moon S. Kim; Kuanglin Chao; Bryan A. Chin; Byoung-Kwan Cho, Editor(s)

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