2021Acta HorticulturaeRequires access

The use of vineyard spectral signatures to identify table grape cultivars

Rosario Di Lorenzo, Tanino Santangelo, Pietro Scafidi, Antonino Pisciotta

Open publisher page 0 citations

Abstract

Vineyards have characteristic responses to sunlight. The reflectance values at the different wavelengths are typical of vegetation and define its spectral signature. The aim of this work was to determine the spectral signatures of table grape vineyards located in the production area of Robinvale (Victoria, Australia) in order to identify cultivars in the vineyard. Spectral signatures were detected from images in eight bands from the Worldview 3 platform. Spectral signatures for a representative number of plots were extracted using satellite reflectance images for each cultivar. Spectral signatures were also collected in the field, from the same cultivars, with a FieldSpec® HandHeld 2 portable spectroradiometer. Signatures were analyzed to determine the average spectral response for each plot and the variability in terms of coefficient of variation. Results showed that some cultivars exhibited different spectral signatures and trends while other cultivars had similar behavior. All the cultivars covered different regions of the Cartesian surface and were therefore distinguishable, except for ‘IFG 68-175’. Therefore, spectral signatures represent a powerful tool for a preliminary characterization of cultivars and vineyards. Spectral signatures were successfully used to classify vineyards down to the cultivar level and, within the same cultivar, to identify different management practices.

About this research paper

What this paper is about

Vineyards have characteristic responses to sunlight. The reflectance values at the different wavelengths are typical of vegetation and define its spectral signature. The aim of this work was to determine the spectral signatures of table grape vineyards located in the production area of Robinvale (Victoria, Australia) in order to identify cultivars in the vineyard. Spectral signatures were detected from images in eight bands from the Worldview 3 platform. Spectral signatures for a representative number of plots were extracted using satellite reflectance images for each cultivar. Spectral signatures were also collected in the field, from the same cultivars, with a FieldSpec® HandHeld 2 portable spectroradiometer. Signatures were analyzed to determine the average spectral response for each plot and the variability in terms of coefficient of variation. Results showed that some cultivars exhibited different spectral signatures and trends while other cultivars had similar behavior. All the cultivars covered different regions of the Cartesian surface and were therefore distinguishable, except for ‘IFG 68-175’. Therefore, spectral signatures represent a powerful tool for a preliminary characterization of cultivars and vineyards. Spectral signatures were successfully used to classify vineyards down to the cultivar level and, within the same cultivar, to identify different management practices.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Vineyards have characteristic responses to sunlight. The reflectance values at the different wavelengths are typical of vegetation and define its spectral signature. The aim of this work was to determine the spectral signatures of table grape vineyards located in the production area of Robinvale (Victoria, Australia) in order to identify cultivars in the vineyard. Spectral signatures were detected from images in eight bands from the Worldview 3 platform. Spectral signatures for a representative number of plots were extracted using satellite reflectance images for each cultivar. Spectral signatures were also collected in the field, from the same cultivars, with a FieldSpec® HandHeld 2 portable spectroradiometer. Signatures were analyzed to determine the average spectral response for each plot and the variability in terms of coefficient of variation. Results showed that some cultivars exhibited different spectral signatures and trends while other cultivars had similar behavior. All the cultivars covered different regions of the Cartesian surface and were therefore distinguishable, except for ‘IFG 68-175’. Therefore, spectral signatures represent a powerful tool for a preliminary characterization of cultivars and vineyards. Spectral signatures were successfully used to classify vineyards down to the cultivar level and, within the same cultivar, to identify different management practices.

Key concepts: Vineyard, Table grape, Cultivar, Table (database), Horticulture, Biology, Computer science, Data mining

Related papers

Back to paper searchBrowse research topicsOriginal source
The use of vineyard spectral signatures to identify table grape cultivars — Research Paper | ScholarLens