Search

Your search keyword '"Bendoula, Ryad"' showing total 135 results
Start Over Author "Bendoula, Ryad" Language english
135 results on '"Bendoula, Ryad"'

12. Using Dynamic Laser Speckle Imaging for Plant Breeding: A Case Study of Water Stress in Sunflowers.

Author

Bouzaouia, Sherif, Ryckewaert, Maxime, Héran, Daphné, Ducanchez, Arnaud, and Bendoula, Ryad

Subjects
SPECKLE interferometry, CULTIVARS, PLANT breeding, LIGHT scattering, AGRICULTURAL water supply
Abstract

This study focuses on the promising use of biospeckle technology to detect water stress in plants, a complex physiological mechanism. This involves monitoring the temporal activity of biospeckle pattern to study the occurrence of stress within the leaf. The effects of water stress in plants can involve physical and biochemical changes. Some of these changes may alter the optical scattering properties of leaves. The present study therefore proposes to test the potential of a biospeckle measurement to observe the temporal evolution in different varieties of sunflower plants under water stress. An experiment applying controlled water stress with osmotic shock using polyethylene glycol 6000 (PEG) was conducted on two sunflower varieties: one sensitive, and the other more tolerant to water stress. Temporal monitoring of biospeckle activity in these plants was performed using the average value of difference (AVD) indicator. Results indicate that AVD highlights the difference in biospeckle activity between day and night, with lower activity at night for both varieties. The addition of PEG entailed a gradual decrease in values throughout the experiment, particularly for the sensitive variety. The results obtained are consistent with the behaviour of the varieties submitted to water stress. Indeed, a few days after the introduction of PEG, a stronger decrease in AVD indicator values was observed for the sensitive variety than for the resistant variety. This study highlights the dynamics of biospeckle activity for different sunflower varieties undergoing water stress and can be considered as a promising phenotyping tool. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

33. Discriminating between Absorption and Scattering Effects in Complex Turbid Media by Coupling Polarized Light Spectroscopy with the Mueller Matrix Concept.

Author

Ducanchez, Arnaud, Ryckewaert, Maxime, Heran, Daphne, and Bendoula, Ryad

Subjects
MUELLER calculus, POLARIZATION spectroscopy, ABSORPTION, CIRCULAR polarization, SPECTROMETRY, LINEAR polarization, RAYLEIGH scattering
Abstract

The separation of the combined effects of absorption and scattering in complex media is a major issue for better characterization and prediction of media properties. In this study, an approach coupling polarized light spectroscopy and the Mueller matrix concept were evaluated to address this issue. A set of 50 turbid liquid optical phantoms with different levels of scattering and absorption properties were made and measured at various orientations of polarizers and analyzers to obtain the 16 elements of the complete Mueller matrix in the VIS–NIR region. Partial least square (PLS) was performed to build calibration models from diffuse reflectance spectra in order to evaluate the potential of polarization spectroscopy through the elements of the Mueller matrix to predict physical and chemical parameters and hence, to discriminate scattering and absorption effects, respectively. In particular, it was demonstrated that absorption and scattering effects can be distinguished in the Rayleigh regime with linear and circular polarization from the M22 and M44 elements of the Mueller matrix, correspondingly. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

34. On-site substrate characterization in the anaerobic digestion context: A dataset of near infrared spectra acquired with four different optical systems on freeze-dried and ground organic waste

Author

Pérémé, Margaud, Mallet, Alexandre, Awhangbo, Lorraine, Charnier, Cyrille, Roger, Jean-Michel, Steyer, Jean-Philippe, Latrille, Éric, Bendoula, Ryad, Laboratoire de Biotechnologie de l'Environnement [Narbonne] (LBE), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM), Information – Technologies – Analyse Environnementale – Procédés Agricoles (UMR ITAP), BioEnTech, French Agency of National Research and Technology (ANRT) [grant number 2018/0461, and National Research Institute for Agriculture, Food and Environment (INRAE)

Subjects
Q1-390, Compact spectrometers, Science (General), Computer applications to medicine. Medical informatics, Instrument standardization, R858-859.7, [CHIM]Chemical Sciences, [INFO]Computer Science [cs], Chemometrics, Near infrared spectroscopy, Organic waste, Data Article
Abstract

International audience; The near infrared spectra of thirty-three freeze-dried and ground organic waste samples of various biochemical composition were collected on four different optical systems, including a laboratory spectrometer, a transportable spectrometer with two measurement configurations (an immersed probe, and a polarized light system) and a micro-spectrometer. The provided data contains one file per spectroscopic system including the reflectance or absorbance spectra with the corresponding sample name and wavelengths. A reference data file containing carbohydrates, lipid and nitrogen content, biochemical methane potential (BMP) and chemical oxygen demand (COD) for each sample is also provided. This data enables the comparison of the optical systems for predictive model calibration based for example on Partial Least Squares Regression (PLS-R) [1], but could be used more broadly to test new chemometrics methods. For example, the data could be used to evaluate different transfer functions between spectroscopic systems [2]. This dataset enabled the research work reported by Mallet et al. 2021 [3].

Published
2021

40. Comparison between ParSketch-PLSDA and PLSDA in a context of large amounts of spectral data for sunflower genotype discrimination

Author

Ryckewaert, Maxime, Metz, Maxime, Gaci, Belal, Courand, Aldrig, Heran, Daphné, Bendoula, Ryad, and Ryckewaert, Maxime

Subjects
Massive data, [SDV.BV.AP] Life Sciences [q-bio]/Vegetal Biology/Plant breeding, Chemometrics, [MATH.MATH-ST] Mathematics [math]/Statistics [math.ST], Spectroscopy, Plant breeding, Digital Agriculture
Abstract

In recent years, high-throughput plant phenotyping (HTPP) platforms in the laboratory or directly in the field have multiplied. The use of optical instruments such as NIR Spectroscopy or hyperspectral imaging tends to increase offering the possibility of generating large quantities of data in an automatic way. This represents a potential application for plant breeding. However, the large amount of data often called massive data leads to difficulties in managing and analyzing them. Processing this massive amount of spectral data is challenging. Partial-Least-Squares (PLS) is the most widely used method for predicting biochemical variables based on a linear relationship with spectra. When dealing with large amounts of spectral data, complex structures and non-linear relationships appear. This can compromise linear regression approaches. Recently, a method called 'parSketch-PLS' has recently been proposed (Metz et al. 2020)to implement a local approach to a large volume of spectral data. This method combines a fast neighborhood search method (parSketch) with PLS. This method is valid to predict categorical variables by adding a Discrimination-Analysis (DA) step like PLS with PLS-DA. In this presentation, we propose to compare parSketch-PLS-DA with the reference method PLS-DA in a context of varietal discrimination. For this purpose, a spectral database was formed by collecting 1,300,000 spectra from hyperspectral images of leaves of four different sunflower genotypes. Results show that the prediction model obtained by PLSDA has a classification error close to 23% on average across all genotypes. ParSketch-PLSDA method outperforms PLS-DA by greatly improving prediction qualities by 10%. These results are encouraging and allow us to anticipate the future bottleneck related to the generation of a large amount of data from phenotyping generating complex structures and non-linear relationships.

Published
2021

42. Terahertz probing of sunflower leaf multilayer organization

Author

Abautret, Yannick, COQUILLAT, Dominique, Zerrad, Myriam, Buet, Xavier, Bendoula, Ryad, Soriano, Gabriel, Brouilly, Nicolas, HERAN, Daphné, Grezes-Besset, Bruno, Chazallet, Frédéric, Amra, Claude, Institut FRESNEL (FRESNEL), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), CONCEPT (CONCEPT), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Charles Coulomb (L2C), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Information – Technologies – Analyse Environnementale – Procédés Agricoles (UMR ITAP), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut de Biologie du Développement de Marseille (IBDM), Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Centre National de la Recherche Scientifique (CNRS), innolea, ANR-16-CE04-0010,OptiPAG,Outils optiques pour l'agriculture de précision(2016), Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU), Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Subjects
Plant Leaves, Terahertz Spectroscopy, [SPI]Engineering Sciences [physics], Terahertz Imaging, Fourier Analysis, Multilayers, [SDE]Environmental Sciences, Helianthus, Film preparation, Reverse engineering, Structural optimization
Abstract

International audience; We analyze the multilayer structure of sunflower leaves from Terahertz data measured in the time-domain at a ps scale. Thin film reverse engineering techniques are applied to the Fourier amplitude of the reflected and transmitted signals in the frequency range f < 1.5 Terahertz (THz). Validation is first performed with success on etalon samples. The optimal structure of the leaf is found to be a 8-layer stack, in good agreement with microscopy investigations. Results may open the door to a complementary classification of leaves.

Published
2020

44. Combination of multivariate curve resolution with factorial discriminant analysis for the detection of grapevine diseases using hyperspectral imaging. A case study: flavescence dorée.

Author

Mas Garcia, Silvia, Ryckewaert, Maxime, Abdelghafour, Florent, Metz, Maxime, Moura, Daniel, Feilhes, Carole, Prezman, Fanny, and Bendoula, Ryad

Subjects
FACTOR analysis, DISCRIMINANT analysis, GRAPES, LEAST squares, BACTERIAL diseases
Abstract

Hyperspectral imaging is an emergent technique in viticulture that can potentially detect bacterial diseases in a non-destructive manner. However, the main problem is to handle the substantial amount of information obtained from this type of data, for which reliable data analysis tools are necessary. In this work, a combination of multivariate curve resolution-alternating least squares (MCR-ALS) and factorial discriminant analysis (FDA) is proposed to detect the flavescence dorée grapevine disease from hyperspectral imaging. The main purpose of MCR-ALS in this work was to provide chemically meaningful basic spectral signatures and distribution maps of the constituents needed to describe both healthy and infected leaf images by flavescence dorée. MCR scores (distribution maps) were used as the starting information for FDA to distinguish between healthy and infected pixels/images. Such an approach is presumably more powerful than the direct use of FDA on the raw imaging data, since MCR scores are compressed and noise-filtered information on pixel properties, which makes them more suitable for discrimination analysis. High levels of correct pixel discrimination rates (CR = 85.1%) for the MCR-ALS/FDA discrimination model were obtained. The model presents a lesser ability to determine infected leaves than healthy leaves. Nevertheless, only two images were misclassified. Therefore, the proposed strategy constitutes a good approach for the detection of flavescence dorée that could be potentially used to detect other phytopathologies. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

45. Improving the scan depth of near infrared hyperspectral imaging using spatially resolved spectroscopy lighting

Author

Laborde, Antoine, Bendoula, Ryad, Heran, D, Roger, Jean-Michel, Boulanger, Anthony, Jaillais, Benoit, Jouan-Rimbaud Bouveresse, Delphine, Eveleigh, Luc, Cordella, Christophe, Greentropism, Information – Technologies – Analyse Environnementale – Procédés Agricoles (UMR ITAP), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Independent, Institut National de Recherche en Sciences et Technologies pour l'Environnement et l'Agriculture (IRSTEA), Unité de Sensométrie et Chimiométrie, École nationale d'ingénieurs des techniques des industries agricoles et alimentaires (ENITIAA)-Institut National de la Recherche Agronomique (INRA), Physiologie de la Nutrition et du Comportement Alimentaire (PNCA), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Ingénierie Procédés Aliments (GENIAL), Institut National de la Recherche Agronomique (INRA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-AgroParisTech-Conservatoire National des Arts et Métiers [CNAM] (CNAM), Université Paris-Saclay, AgroParisTech-Institut National de la Recherche Agronomique (INRA), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Institut National de la Recherche Agronomique (INRA)-École nationale d'ingénieurs des techniques des industries agricoles et alimentaires (ENITIAA), Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), and ProdInra, Archive Ouverte

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio]
Abstract

Improving the scan depth of near infrared hyperspectral imaging using spatially resolved spectroscopy lighting. 9. workshop on hyperspectral image and signal processing: evolution in remote sensing

Published
2018

47. Near infrared and hyperspectral studies of archaeological stratigraphy and statistical considerations.

Author

Linderholm, Johan, Geladi, Paul, Gorretta, Nathalie, Bendoula, Ryad, and Gobrecht, Alexia

Subjects
STRATIGRAPHIC archaeology, INDUCTIVELY coupled plasma mass spectrometry, SOIL formation, MULTIPLE correspondence analysis (Statistics), ANALYTICAL chemistry, NEAR infrared radiation
Abstract

The paper proposes a methodology based on near‐infrared (NIR) spectrometry for studying stratigraphy and depth profiles in archaeological excavations. The NIR spectra can be used to describe and complement the wet chemical analysis. Soil samples were collected from a 0.8 m deep stratigraphy of a Neolithic site that were analyzed by three different NIR instrumentations. Phosphate‐ and magnetic susceptibility and inductively‐coupled plasma mass spectrometry measurements were also conducted as reference analysis. Principal component analysis on the data from three different NIR instrumentations gave useful score plots that allowed grouping of the samples. The results from the lab spectrometer were most useful, although the hyperspectral NIR camera was the fastest method to obtain spectra of many samples from one image. The paper shows how the NIR spectral data can be used for multivariate analysis to get meaningful conclusions on archaeological soils and sediments, especially in terms of understanding site development/phases and soil formation. [ABSTRACT FROM AUTHOR]

Published
2019
Full Text
View/download PDF

48. Spectral measurement method coupled with an optical model of microalgal cells to retrieve the cell concentration and mean diameter of culture samples in the context of culture monitoring

Author

Bellini, Sarah, Bendoula, Ryad, Le Floc'H, E., Carré, C, Roger, Jean-Michel, Information – Technologies – Analyse Environnementale – Procédés Agricoles (UMR ITAP), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Université Montpellier 2 - Sciences et Techniques (UM2), and Irstea Publications, Migration

Subjects
[SDE] Environmental Sciences, [SDE]Environmental Sciences
Abstract

International audience; This work presents a spectral measurement method coupled with an optical model of microalgal cells to retrieve the cell concentration and mean diameter of non diluted culture samples from a ballistic transmission measurement on the [400-750nm] spectral range. The AlgaSim simulation program was implemented to simulate the extinction cross sections of microalgal cells represented as spheres with concentric layers of different biological materials, and described by a set of physical and chemical parameters. The measurement system is composed of one integrating sphere specially designed to perform a sound measurement of the ballistic transmission, from which the spectral extinction coefficient of the sample algal suspension can be extracted. This study shows that from the measured extinction coefficient, by inverting AlgaSim simulation model, the concentration and mean diameter of two different monospecific microalgal cultures could be screened at different growth stages.

Published
2014

49. Spectroscopic measurement method using Adding-Doubling for advanced diagnosis in the monitoring of phytoplankton mass cultivation: interpretation with Mie theory

Author

Latrille, Eric, Bellini, Sarah, Bendoula, Ryad, Roger, Jean-Michel, Laboratoire de Biotechnologie de l'Environnement [Narbonne] (LBE), Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Institut National de Recherche en Sciences et Technologies pour l'Environnement et l'Agriculture (IRSTEA). FRA., Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA), and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDE] Environmental Sciences, [SDV]Life Sciences [q-bio], [SDE]Environmental Sciences
Published
2013

50. Optical disk resonators with microwaves free spectral range for optoelectronic oscillators

Author

Tavernier, Hervé, Nguyen, Thi Kim Ngan, Féron, Patrice, Bendoula, Ryad, Rubiola, Enrico, Salzenstein, Patrice, Larger, Laurent, Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS), Fonctions Optiques pour les Technologies de l'informatiON (FOTON), Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-École Nationale Supérieure des Sciences Appliquées et de Technologie (ENSSAT)-Télécom Bretagne, Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École Nationale Supérieure des Sciences Appliquées et de Technologie (ENSSAT)-Télécom Bretagne-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SPI.ELEC]Engineering Sciences [physics]/Electromagnetism, [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2008

Catalog

Books, media, physical & digital resources
See catalog results