Search Results - "Bendoula, Ryad"

Author Results for "Bendoula, Ryad"

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Bilan de l'étude HélioSPIR Microspectromètres : méthodologie employée, résultats et perspectives. Etape 1. Caractérisation des spectromètres

by Bendoula, Ryad, Zgouz, Abdallah, Héran, Daphné, Chaix, Gilles

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Bilan de l'étude HélioSPIR Microspectromètres : méthodologie employée, résultats et perspectives. Etape 2. Performances d'une série de microspectromètres

by Chaix, Gilles, Zgouz, Abdallah, Héran, Daphné, Bendoula, Ryad

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Combinaison de micro-spectromètres NIR pour prédire les propriétés chimiques du fourrage de canne à sucre

by Ryckewaert, Philippe, Chaix, Gilles, Héran, Daphné, Bendoula, Ryad

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Evaluation of a combination of NIR micro-spectrometers to predict chemical properties of sugarcane forage using a multi-block approach

by Ryckewaert, Philippe, Chaix, Gilles, Héran, Daphné, Zgouz, Abdallah, Bendoula, Ryad

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Exploring the potential of PROCOSINE and close-range hyperspectral imaging to study the effects of fungal diseases on leaf physiology

by Morel, Julien, Jay, Sylvain, Feret, Jean Baptiste, Bakache, Adel, Bendoula, Ryad, Carreel, Françoise, Gorretta, Nathalie

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

by Metz, Maxime, Ryckewaert, Maxime, Mas-Garcia, Silvia, Bendoula, Ryad, Dardenne, Pierre, Lesnoff, Matthieu, Roger, Jean-Michel

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A novel approach to combine spatial and spectral information from hyperspectral images

by Gaci, Belal, Abdelghafour, Florent, Ryckewaert, Maxime, Mas-Garcia, Silvia, Louargant, Marine, Verpont, Florence, Lahoum, Yohana, Bendoula, Ryad, Chaix, Gilles, Roger, Jean-Michel

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Dataset of visible-near infrared handheld and micro-spectrometers – comparison of the prediction accuracy of sugarcane properties

by Zgouz, Abdallah, Héran, Daphné, Barthès, Bernard, Bastianelli, Denis, Bonnal, Laurent, Baeten, Vincent, Lurol, Sébastien, Bonin, Michaël, Roger, Jean-Michel, Bendoula, Ryad, Chaix, Gilles

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Estimating leaf mass per area and equivalent water thickness based on leaf optical properties: Potential and limitations of physical modeling and machine learning

by Feret, Jean Baptiste, Le Maire, Guerric, Jay, Sylvain, Berveiller, Daniel, Bendoula, Ryad, Hmimina, Gabriel, Cheraiet, A., Oliveira, J.C., Ponzoni, Flávio Jorge, Solanki, T., De Boissieu, Florian, Chave, Jérôme, Nouvellon, Yann, Porcar-Castell, A., Proisy, Christophe, Soudani, Kamel, Gastellu-Etchegorry, J.P., Lefèvre-Fonollosa, Marie-José

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