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A New Optical Sensor Based on Laser Speckle and Chemometrics for Precision Agriculture: Application to Sunflower Plant-Breeding

New instruments to characterize vegetation must meet cost constraints while providing accurate information. In this paper, we study the potential of a laser speckle system as a low-cost solution for non-destructive phenotyping. The objective is to assess an original approach combining laser speckle...

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Autores principales: Ryckewaert, Maxime, Héran, Daphné, Faur, Emma, George, Pierre, Grèzes-Besset, Bruno, Chazallet, Frédéric, Abautret, Yannick, Zerrad, Myriam, Amra, Claude, Bendoula, Ryad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472371/
https://www.ncbi.nlm.nih.gov/pubmed/32824804
http://dx.doi.org/10.3390/s20164652
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author Ryckewaert, Maxime
Héran, Daphné
Faur, Emma
George, Pierre
Grèzes-Besset, Bruno
Chazallet, Frédéric
Abautret, Yannick
Zerrad, Myriam
Amra, Claude
Bendoula, Ryad
author_facet Ryckewaert, Maxime
Héran, Daphné
Faur, Emma
George, Pierre
Grèzes-Besset, Bruno
Chazallet, Frédéric
Abautret, Yannick
Zerrad, Myriam
Amra, Claude
Bendoula, Ryad
author_sort Ryckewaert, Maxime
collection PubMed
description New instruments to characterize vegetation must meet cost constraints while providing accurate information. In this paper, we study the potential of a laser speckle system as a low-cost solution for non-destructive phenotyping. The objective is to assess an original approach combining laser speckle with chemometrics to describe scattering and absorption properties of sunflower leaves, related to their chemical composition or internal structure. A laser diode system at two wavelengths 660 nm and 785 nm combined with polarization has been set up to differentiate four sunflower genotypes. REP-ASCA was used as a method to analyze parameters extracted from speckle patterns by reducing sources of measurement error. First findings have shown that measurement errors are mostly due to unwilling residual specular reflections. Moreover, results outlined that the genotype significantly impacts measurements. The variables involved in genotype dissociation are mainly related to scattering properties within the leaf. Moreover, an example of genotype classification using REP-ASCA outcomes is given and classify genotypes with an average error of about 20%. These encouraging results indicate that a laser speckle system is a promising tool to compare sunflower genotypes. Furthermore, an autonomous low-cost sensor based on this approach could be used directly in the field.
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spelling pubmed-74723712020-09-04 A New Optical Sensor Based on Laser Speckle and Chemometrics for Precision Agriculture: Application to Sunflower Plant-Breeding Ryckewaert, Maxime Héran, Daphné Faur, Emma George, Pierre Grèzes-Besset, Bruno Chazallet, Frédéric Abautret, Yannick Zerrad, Myriam Amra, Claude Bendoula, Ryad Sensors (Basel) Article New instruments to characterize vegetation must meet cost constraints while providing accurate information. In this paper, we study the potential of a laser speckle system as a low-cost solution for non-destructive phenotyping. The objective is to assess an original approach combining laser speckle with chemometrics to describe scattering and absorption properties of sunflower leaves, related to their chemical composition or internal structure. A laser diode system at two wavelengths 660 nm and 785 nm combined with polarization has been set up to differentiate four sunflower genotypes. REP-ASCA was used as a method to analyze parameters extracted from speckle patterns by reducing sources of measurement error. First findings have shown that measurement errors are mostly due to unwilling residual specular reflections. Moreover, results outlined that the genotype significantly impacts measurements. The variables involved in genotype dissociation are mainly related to scattering properties within the leaf. Moreover, an example of genotype classification using REP-ASCA outcomes is given and classify genotypes with an average error of about 20%. These encouraging results indicate that a laser speckle system is a promising tool to compare sunflower genotypes. Furthermore, an autonomous low-cost sensor based on this approach could be used directly in the field. MDPI 2020-08-18 /pmc/articles/PMC7472371/ /pubmed/32824804 http://dx.doi.org/10.3390/s20164652 Text en © 2020 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
Ryckewaert, Maxime
Héran, Daphné
Faur, Emma
George, Pierre
Grèzes-Besset, Bruno
Chazallet, Frédéric
Abautret, Yannick
Zerrad, Myriam
Amra, Claude
Bendoula, Ryad
A New Optical Sensor Based on Laser Speckle and Chemometrics for Precision Agriculture: Application to Sunflower Plant-Breeding
title A New Optical Sensor Based on Laser Speckle and Chemometrics for Precision Agriculture: Application to Sunflower Plant-Breeding
title_full A New Optical Sensor Based on Laser Speckle and Chemometrics for Precision Agriculture: Application to Sunflower Plant-Breeding
title_fullStr A New Optical Sensor Based on Laser Speckle and Chemometrics for Precision Agriculture: Application to Sunflower Plant-Breeding
title_full_unstemmed A New Optical Sensor Based on Laser Speckle and Chemometrics for Precision Agriculture: Application to Sunflower Plant-Breeding
title_short A New Optical Sensor Based on Laser Speckle and Chemometrics for Precision Agriculture: Application to Sunflower Plant-Breeding
title_sort new optical sensor based on laser speckle and chemometrics for precision agriculture: application to sunflower plant-breeding
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472371/
https://www.ncbi.nlm.nih.gov/pubmed/32824804
http://dx.doi.org/10.3390/s20164652
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