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Linking Tissue Damage to Hyperspectral Reflectance for Non-Invasive Monitoring of Apple Fruit in Orchards

Reflected light carries ample information about the biochemical composition, tissue architecture, and physiological condition of plants. Recent technical progress has paved the way for affordable imaging hyperspectrometers (IH) providing spatially resolved spectral information on plants on different...

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Autores principales: Solovchenko, Alexei, Dorokhov, Alexei, Shurygin, Boris, Nikolenko, Alexandr, Velichko, Vitaly, Smirnov, Igor, Khort, Dmitriy, Aksenov, Aleksandr, Kuzin, Andrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914439/
https://www.ncbi.nlm.nih.gov/pubmed/33562864
http://dx.doi.org/10.3390/plants10020310
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author Solovchenko, Alexei
Dorokhov, Alexei
Shurygin, Boris
Nikolenko, Alexandr
Velichko, Vitaly
Smirnov, Igor
Khort, Dmitriy
Aksenov, Aleksandr
Kuzin, Andrey
author_facet Solovchenko, Alexei
Dorokhov, Alexei
Shurygin, Boris
Nikolenko, Alexandr
Velichko, Vitaly
Smirnov, Igor
Khort, Dmitriy
Aksenov, Aleksandr
Kuzin, Andrey
author_sort Solovchenko, Alexei
collection PubMed
description Reflected light carries ample information about the biochemical composition, tissue architecture, and physiological condition of plants. Recent technical progress has paved the way for affordable imaging hyperspectrometers (IH) providing spatially resolved spectral information on plants on different levels, from individual plant organs to communities. The extraction of sensible information from hyperspectral images is difficult due to inherent complexity of plant tissue and canopy optics, especially when recorded under ambient sunlight. We report on the changes in hyperspectral reflectance accompanying the accumulation of anthocyanins in healthy apple (cultivars Ligol, Gala, Golden Delicious) fruits as well as in fruits affected by pigment breakdown during sunscald development and phytopathogen attacks. The measurements made outdoors with a snapshot IH were compared with traditional “point-type” reflectance measured with a spectrophotometer under controlled illumination conditions. The spectra captured by the IH were suitable for processing using the approaches previously developed for “point-type” apple fruit and leaf reflectance spectra. The validity of this approach was tested by constructing a novel index mBRI (modified browning reflectance index) for detection of tissue damages on the background of the anthocyanin absorption. The index was suggested in the form of mBRI = (R(640)(−1) + R(800)(−1)) − R(678)(−1). Difficulties of the interpretation of fruit hyperspectral reflectance images recorded in situ are discussed with possible implications for plant physiology and precision horticulture practices.
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spelling pubmed-79144392021-03-01 Linking Tissue Damage to Hyperspectral Reflectance for Non-Invasive Monitoring of Apple Fruit in Orchards Solovchenko, Alexei Dorokhov, Alexei Shurygin, Boris Nikolenko, Alexandr Velichko, Vitaly Smirnov, Igor Khort, Dmitriy Aksenov, Aleksandr Kuzin, Andrey Plants (Basel) Article Reflected light carries ample information about the biochemical composition, tissue architecture, and physiological condition of plants. Recent technical progress has paved the way for affordable imaging hyperspectrometers (IH) providing spatially resolved spectral information on plants on different levels, from individual plant organs to communities. The extraction of sensible information from hyperspectral images is difficult due to inherent complexity of plant tissue and canopy optics, especially when recorded under ambient sunlight. We report on the changes in hyperspectral reflectance accompanying the accumulation of anthocyanins in healthy apple (cultivars Ligol, Gala, Golden Delicious) fruits as well as in fruits affected by pigment breakdown during sunscald development and phytopathogen attacks. The measurements made outdoors with a snapshot IH were compared with traditional “point-type” reflectance measured with a spectrophotometer under controlled illumination conditions. The spectra captured by the IH were suitable for processing using the approaches previously developed for “point-type” apple fruit and leaf reflectance spectra. The validity of this approach was tested by constructing a novel index mBRI (modified browning reflectance index) for detection of tissue damages on the background of the anthocyanin absorption. The index was suggested in the form of mBRI = (R(640)(−1) + R(800)(−1)) − R(678)(−1). Difficulties of the interpretation of fruit hyperspectral reflectance images recorded in situ are discussed with possible implications for plant physiology and precision horticulture practices. MDPI 2021-02-05 /pmc/articles/PMC7914439/ /pubmed/33562864 http://dx.doi.org/10.3390/plants10020310 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Solovchenko, Alexei
Dorokhov, Alexei
Shurygin, Boris
Nikolenko, Alexandr
Velichko, Vitaly
Smirnov, Igor
Khort, Dmitriy
Aksenov, Aleksandr
Kuzin, Andrey
Linking Tissue Damage to Hyperspectral Reflectance for Non-Invasive Monitoring of Apple Fruit in Orchards
title Linking Tissue Damage to Hyperspectral Reflectance for Non-Invasive Monitoring of Apple Fruit in Orchards
title_full Linking Tissue Damage to Hyperspectral Reflectance for Non-Invasive Monitoring of Apple Fruit in Orchards
title_fullStr Linking Tissue Damage to Hyperspectral Reflectance for Non-Invasive Monitoring of Apple Fruit in Orchards
title_full_unstemmed Linking Tissue Damage to Hyperspectral Reflectance for Non-Invasive Monitoring of Apple Fruit in Orchards
title_short Linking Tissue Damage to Hyperspectral Reflectance for Non-Invasive Monitoring of Apple Fruit in Orchards
title_sort linking tissue damage to hyperspectral reflectance for non-invasive monitoring of apple fruit in orchards
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914439/
https://www.ncbi.nlm.nih.gov/pubmed/33562864
http://dx.doi.org/10.3390/plants10020310
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