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

S. Serranti; G. Bonifazi; V. Luciani; L. D'Aniello

doi:10.1117/12.2255052

1 May 2017 Classification of Peronospora infected grapevine leaves with the use of hyperspectral imaging analysis

S. Serranti, G. Bonifazi, V. Luciani, L. D'Aniello

Proceedings Volume 10217, Sensing for Agriculture and Food Quality and Safety IX; 102170N (2017) https://doi.org/10.1117/12.2255052
Event: SPIE Commercial + Scientific Sensing and Imaging, 2017, Anaheim, CA, United States

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.

Citation Download Citation

S. Serranti, G. Bonifazi, V. Luciani, and L. D'Aniello "Classification of Peronospora infected grapevine leaves with the use of hyperspectral imaging analysis", Proc. SPIE 10217, Sensing for Agriculture and Food Quality and Safety IX, 102170N (1 May 2017); https://doi.org/10.1117/12.2255052

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