<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Two hyperspectral remote sensing techniques, spectral reflectance and chlorophyll fluorescence, were used for the identification of biotic stress (sharka disease) in plum trees at an early stage without visible symptoms on the leaves. The research was focused on cultivars that are widely spread in Bulgaria: ‘Angelina’, ‘Black Diamond’ and ‘Mirabelle’. Hyperspectral reflectance and fluorescence data were collected by means of a portable multichannel fibre-optics spectrometer in the visible and near infrared spectral ranges (400-1000 nm). Statistical and deterministic analyses were applied for assessing the significance of the differences between the spectral data of healthy (control) and infected plum leaves. Comparative analyses were performed with complementary serological test DAS-ELISA, broadly implemented in plant virology. The strong relationship that was found between the results from the two remote sensing techniques and serological analysis indicates the applicability of hyperspectral reflectance and fluorescence techniques for conducting health condition assessments of vegetation easily and without damage before the appearance of visible symptoms.</p></abstract>

Two hyperspectral remote sensing techniques, spectral reflectance and chlorophyll fluorescence, were used for the identification of biotic stress (sharka disease) in plum trees at an early stage without visible symptoms on the leaves. The research was focused on cultivars that are widely spread in Bulgaria: ‘Angelina’, ‘Black Diamond’ and ‘Mirabelle’. Hyperspectral reflectance and fluorescence data were collected by means of a portable multichannel fibre-optics spectrometer in the visible and near infrared spectral ranges (400-1000 nm). Statistical and deterministic analyses were applied for assessing the significance of the differences between the spectral data of healthy (control) and infected plum leaves. Comparative analyses were performed with complementary serological test DAS-ELISA, broadly implemented in plant virology. The strong relationship that was found between the results from the two remote sensing techniques and serological analysis indicates the applicability of hyperspectral reflectance and fluorescence techniques for conducting health condition assessments of vegetation easily and without damage before the appearance of visible symptoms.

Application of remote sensing techniques for the identification of biotic stress in plum trees caused by the Plum pox virus

Space Research and Technology Institute, Bulgarian Academy of Sciences

Institute of Soil Science, Agrotechnology and Plant Protection

Folia Horticulturae

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Two hyperspectral remote sensing techniques, spectral reflectance and chlorophyll fluorescence, were used for the identification of biotic stress (sharka...

Application of remote sensing techniques for the identification of biotic stress in plum trees caused by the Plum pox virus

Pubblicato online: 30 dic 2015

Pagine: 99 - 106

Ricevuto: 30 gen 2015

Accettato: 04 apr 2015

DOI: https://doi.org/10.1515/fhort-2015-0019

Parole chiave
chlorophyll fluorescence, DAS-ELISA, hyperspectral remote sensing, leaf reflectance, sharka

© 2015 Dora Krezhova et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Application of remote sensing techniques for the identification of biotic stress in plum trees caused by the Plum pox virus

Pubblicato online: 30 dic 2015

Pagine: 99 - 106

Ricevuto: 30 gen 2015

Accettato: 04 apr 2015

DOI: https://doi.org/10.1515/fhort-2015-0019

Parole chiavechlorophyll fluorescence, DAS-ELISA, hyperspectral remote sensing, leaf reflectance, sharka

© 2015 Dora Krezhova et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Parole chiave
chlorophyll fluorescence, DAS-ELISA, hyperspectral remote sensing, leaf reflectance, sharka