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Multivariate analysis of variance of vegetation spectra dataset included into an experimental design by using ANOVA-SCA and ANOVA-Target Projection

Maxime Ryckewaert , Nathalie Gorretta , Henriot Fabienne , Alexia Gobrecht , Jean-Michel Roger et al.
SFPT-GH, May 2018, Montpellier, France
Conference papers hal-03820474v1

REP-ASCA: A method to reduce repeatability error for Analysis of variance-Simultaneous Component Analysis

Maxime Ryckewaert , Nathalie Gorretta , Fabienne Henriot , Federico Marini , Jean-Michel Roger et al.
Chimiométrie 2020, Jan 2020, Liège, Belgium
Conference papers hal-03783423v1
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Massive spectral data analysis for plant breeding using parSketch-PLSDA method: Discrimination of sunflower genotypes

Maxime Ryckewaert , Maxime Metz , Daphné Héran , Pierre George , Bruno Grèzes-Besset et al.
Biosystems Engineering, 2021, 210, pp.69-77. ⟨10.1016/j.biosystemseng.2021.08.005⟩
Journal articles hal-03329674v1

Analyse d’une quantité massive de données spectrales avec parSketch-PLSDA pour la description de génotypes de tournesols

Maxime Ryckewaert , Maxime Metz , Daphné Heran , Ryad Bendoula
HelioSPIR, Jun 2021, Montpellier, France
Conference papers hal-03783406v1

Predicting maize yield of new varieties from known varieties with temporal-spectral data using multibloc-analysis

Maxime Ryckewaert , Maxime Metz , Jean-Michel Roger
Chimiométrie, Jan 2019, Montpellier, France
Conference papers hal-03820471v1
Image document

Reduction of repeatability error for analysis of variance-Simultaneous Component Analysis (REP-ASCA): Application to NIR spectroscopy on coffee sample

Maxime Ryckewaert , Nathalie Gorretta , Fabienne Henriot , Federico Marini , Jean-Michel Roger et al.
Analytica Chimica Acta, 2020, 1101, pp.23-31. ⟨10.1016/j.aca.2019.12.024⟩
Journal articles hal-02963035v1
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Potential of high-spectral resolution for field phenotyping in plant breeding: Application to maize under water stress

Maxime Ryckewaert , Nathalie Gorretta , Fabienne Henriot , Alexia Gobrecht , Daphné Heran et al.
Computers and Electronics in Agriculture, 2021, 189, pp.106385. ⟨10.1016/j.compag.2021.106385⟩
Journal articles hal-03324043v1

RoBoost-PLS2-R: An extension of RoBoost-PLSR method for multi-response

Maxime Metz , Maxime Ryckewaert , Sílvia Mas Garcia , Ryad Bendoula , Pierre Dardenne et al.
Chemometrics and Intelligent Laboratory Systems, 2022, 222, ⟨10.1016/j.chemolab.2022.104498⟩
Journal articles hal-03582272v1
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PYM: a new, affordable, image-based method using a Raspberry Pi to phenotype plant leaf area in a wide diversity of environments

Benoît Valle , Thierry Simonneau , Romain Boulord , Francis Sourd , Thibault Frisson et al.
Plant Methods, 2017, 13 (1), ⟨10.1186/s13007-017-0248-5⟩
Journal articles hal-01657550v1

Detection of fire blight symptoms by hyperspectral imaging in apple trees

Belal Gaci , Florent Abdelghafour , Maxime Ryckewaert , Sílvia Mas Garcia , Marine Louagrant et al.
31st International Horticultural Congress (IHC), Aug 2022, Angers, France
Poster communications hal-03761820v1

Traitement conjoint des données spectrales et spatiales des images hyperspectrales par une méthode multibloc

Belal Gaci , Florent Abdelghafour , Maxime Ryckewaert , Sílvia Mas Garcia , Marine Louargant et al.
23 èmes Rencontres HélioSPIR, Jun 2022, Nantes, France
Conference papers hal-03760544v1
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Coupling Waveguide-Based Micro-Sensors and Spectral Multivariate Analysis to Improve Spray Deposit Characterization in Agriculture

Anis Taleb Bendiab , Maxime Ryckewaert , Daphné Heran , Raphaël Escalier , Raphaël Kribich et al.
Sensors, 2019, Smart Sensing Technologies for Agriculture, 19 (19), pp.4168. ⟨10.3390/s19194168⟩
Journal articles hal-02297422v1

Increasing the total productivity of a land by combining mobile photovoltaic panels and food crops

Benoît Valle , Thierry Simonneau , Francis Sourd , Philippe Pechier , Philippe Hamard et al.
Applied Energy, 2017, 206, pp.1495-1507. ⟨10.1016/j.apenergy.2017.09.113⟩
Journal articles hal-02629148v1

ANOVA-Simultaneous component analysis on vegetation spectra data acquired into an experimental design

Maxime Ryckewaert , Jean-Michel Roger , Fabienne Henriot , Nathalie Gorretta , Alexia Gobrecht et al.
HelioSpir, Nov 2017, Montpellier, France
Conference papers hal-03820486v1
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Removing spatial effects of spectral dataset acquired into an experimental design by using multivariate analysis of variance

Maxime Ryckewaert , Anis Taleb Bendiab , Fabienne Henriot , Ryad Bendoula
EFITA, Jun 2019, Rhodes, Greece
Conference papers hal-03820464v1
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Combination of multivariate curve resolution with factorial discriminant analysis for the detection of grapevine diseases using hyperspectral imaging. A case study: flavescence dorée

Sílvia Mas Garcia , Maxime Ryckewaert , Florent Abdelghafour , Maxime Metz , Daniel Moura et al.
Analyst, 2021, 146 (24), pp.7730-7739. ⟨10.1039/D1AN01735G⟩
Journal articles hal-03538618v1

Combining spectral and spatial features extracted from hyperspectral imges : application on the detection of scab disease

Belal Gaci , Florent Abdelghafour , Maxime Ryckewaert , Sílvia Mas Garcia , Marine Louagrant et al.
18th Chemometrics in Analytical Chemistry Conference (CAC2022), Aug 2022, Rome, Italy
Conference papers hal-03761805v1
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Potentiel d'un couplage entre un capteur de haute résolution spectrale/faible résolution spatiale et un capteur à faible résolution spectrale/forte résolution spatiale pour la sélection variétale

Maxime Ryckewaert
Agronomie. Montpellier SupAgro, 2019. Français. ⟨NNT : ⟩
Theses tel-03248085v1
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Dataset containing spectral data from hyperspectral imaging and sugar content measurements of grapes berries in various maturity stage

Maxime Ryckewaert , Daphné Heran , Carole Feilhes , Fanny Prezman , Eric Serrano et al.
Data in Brief, 2023, 46, pp.108822. ⟨10.1016/j.dib.2022.108822⟩
Journal articles hal-03940279v1

Detection of fire blight in apple trees using hyperspectral imaging and chemometrics tools

Belal Gaci , Maxime Ryckewaert , Florent Abdelghafour , Sílvia Mas Garcia , Marine Louagrant et al.
Virtual conference road to chemometrics in analytical chemistry 2022 (CAC2022), Jul 2021, on-line, France
Conference papers hal-03760540v1
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Evaluation of a combination of NIR micro-spectrometers to predict chemical properties of sugarcane forage using a multi-block approach

Maxime Ryckewaert , Gilles Chaix , Daphné Héran , Abdallah Zgouz , Ryad Bendoula et al.
Biosystems Engineering, 2022, 217, pp.18-25. ⟨10.1016/j.biosystemseng.2022.02.019⟩
Journal articles hal-03612803v1
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A new optical sensor based on laser speckle and chemometrics for precision agriculture: application to sunflower plant-breeding

Maxime Ryckewaert , Daphné Heran , Emma Faur , Pierre George , Bruno Grezes-Besset et al.
Sensors, 2020, 20 (16), pp.4652. ⟨10.3390/s20164652⟩
Journal articles hal-02951895v1
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Discriminating between Absorption and Scattering Effects in Complex Turbid Media by Coupling Polarized Light Spectroscopy with the Mueller Matrix Concept

Arnaud Ducanchez , Maxime Ryckewaert , Daphne Heran , Ryad Bendoula
Sensors, 2022, 22 (23), pp.9355. ⟨10.3390/s22239355⟩
Journal articles hal-03907959v1
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The impact of the spatial resolution of highly resolved spectral data on pan-sharpening methods to reconstruct a hyperspectral image

Maxime Ryckewaert , Alexia Gobrecht , Julien Morel , Jean-Michel Roger , Fabienne Henriot et al.
EFITA, Jul 2017, Montpellier, France
Conference papers hal-03820495v1
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Combining light polarization and speckle measurements with multivariate analysis to predict bulk optical properties of turbid media

Daphné Heran , Maxime Ryckewaert , Yannick Abautret , Myriam Zerrad , Claude Amra et al.
Applied optics, 2019, 58 (30), pp.8247. ⟨10.1364/AO.58.008247⟩
Journal articles hal-02410333v1

Combining hyperspectral imaging data with climate data to predict physiological variables of grapevine plants

Maxime Ryckewaert , Florent Abdelghafour , Daphné Heran , Thierry Simonneau , Romain Boulord et al.
18th Chemometrics in Analytical Chemistry Conference (CAC2022), Aug 2022, Rome, Italy, Aug 2022, Rome, Italy
Conference papers hal-03783272v1
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Evaluation of a robust regression method (RoBoost-PLSR) to predict biochemical variables for agronomic applications: Case study of grape berry maturity monitoring

Aldrig Courand , Maxime Metz , Daphné Héran , Carole Feilhes , Fanny Prezman et al.
Chemometrics and Intelligent Laboratory Systems, 2022, 221, ⟨10.1016/j.chemolab.2021.104485⟩
Journal articles hal-03538442v1

Combinaison de la Méthode de Résolution Multivariée de Courbes avec la Méthode d’Analyse Discriminante Factorielle pour la Détection des Maladies de la Vigne à l'aide de l'Imagerie Hyperspectrale. Une Étude de Cas: La Flavescence Dorée

Sílvia Mas Garcia , Maxime Ryckewaert , Florent Abdelghafour , Maxime Metz , Daniel Moura et al.
23 èmes Rencontres HélioSPIR., Jun 2022, Nantes, France
Conference papers hal-03760361v1
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A generic workflow combining deep learning and chemometrics for processing close-range spectral images to detect drought stress in Arabidopsis thaliana to support digital phenotyping

Puneet Mishra , Roy Sadeh , Maxime Ryckewaert , Ehud Bino , Gerrit Polder et al.
Chemometrics and Intelligent Laboratory Systems, 2021, 216, 9 p. ⟨10.1016/j.chemolab.2021.104373⟩
Journal articles hal-03325576v1

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

Maxime Ryckewaert , Maxime Metz , Belal Gaci , Aldrig Courand , Daphné Heran et al.
NIR20021 - 20th International Conference on Near Infrared Spectroscopy, Oct 2021, Pékin, China
Conference papers hal-03783378v1