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Beurier, Grégory
97  Ergebnisse:
Personensuche X
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1

Convolutional neural network allows amylose content predict..:

Houngbo, Mahugnon Ezékiel ; Desfontaines, Lucienne ; Diman, Jean‐Louis...
Journal of the Science of Food and Agriculture.  104 (2023)  8 - p. 4915-4921 , 2023
Link: https://doi.org/10.1002/..
 
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2

AraDiv: a dataset of functional traits and leaf hyperspectr..:

Przybylska, Maria Stefania ; Violle, Cyrille ; Vile, Denis...
Scientific Data.  10 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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3

A Perspective on Plant Phenomics: Coupling Deep Learning an..:

Vasseur, François ; Cornet, Denis ; Beurier, Grégory...
Frontiers in Plant Science.  13 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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4

Using UAV Borne, Multi-Spectral Imaging for the Field Pheno..:

Gano, Boubacar ; Dembele, Joseph Sékou B. ; Ndour, Adama...
Agronomy.  11 (2021)  5 - p. 850 , 2021
Link: https://doi.org/10.3390/..
 
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5

Into the range: a latitudinal gradient or a center-margins ..:

Estarague, Aurélien ; Vasseur, François ; Sartori, Kevin...
Annals of Botany.  129 (2021)  3 - p. 343-356 , 2021
Link: https://doi.org/10.1093/..
 
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6

Predicting quality, texture and chemical content of yam (Di..:

Ehounou, Adou Emmanuel ; Cornet, Denis ; Desfontaines, Lucienne...
Journal of Near Infrared Spectroscopy.  29 (2021)  3 - p. 128-139 , 2021
Link: https://doi.org/10.1177/..
 
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7

Modelling tiller growth and mortality as a sink-driven proc..:

Larue, Florian ; Fumey, Damien ; Rouan, Lauriane...
Annals of Botany.  124 (2019)  4 - p. 675-690 , 2019
Link: https://doi.org/10.1093/..
 
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8

GECKO is a genetic algorithm to classify and explore high t..:

Thomas, Aubin ; Barriere, Sylvain ; Broseus, Lucile...
Communications Biology.  2 (2019)  1 - p. , 2019
Link: https://doi.org/10.1038/..
 
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9

AraDiv: a dataset of functional traits and leaf hyperspectr..:

Przybylska, Maria, Stefania ; Violle, Cyrille ; Vile, Denis...
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41597-023-02189-w.  , 2023
Link: https://hal.inrae.fr/hal..
 
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10

Convolutional neural network allows amylose content predict..:

Houngbo, Mahugnon, Ezékiel ; Desfontaines, Lucienne ; Diman, Jean‐louis...
info:eu-repo/semantics/altIdentifier/doi/10.1002/jsfa.12825.  , 2023
Link: https://hal.inrae.fr/hal..
 
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11

Convolutional neural network allows amylose content predict..:

Houngbo, Mahugnon, Ezékiel ; Desfontaines, Lucienne ; Diman, Jean‐louis...
info:eu-repo/semantics/altIdentifier/doi/10.1002/jsfa.12825.  , 2023
Link: https://hal.inrae.fr/hal..
 
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12

AraDiv: a dataset of functional traits and leaf hyperspectr..:

Przybylska, Maria Stefania ; Violle, Cyrille ; Vile, Denis...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209097/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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13

AraDiv: a dataset of functional traits and leaf hyperspectr..:

Przybylska, Maria, Stefania ; Violle, Cyrille ; Vile, Denis...
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41597-023-02189-w.  , 2023
Link: https://hal.inrae.fr/hal..
 
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14

AraDiv: A dataset of functional traits and leaf hyperspectr..:

Przybylska, Stefania ; Violle, Cyrille ; Vile, Denis...
http://agritrop.cirad.fr/604781/.  , 2023
Link: http://agritrop.cirad.fr..
 
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15

Convolutional neural network allows amylose content predict..:

Houngbo, Mahugnon, Ezékiel ; Desfontaines, Lucienne ; Diman, Jean‐louis...
info:eu-repo/semantics/altIdentifier/doi/10.1002/jsfa.12825.  , 2023
Link: https://hal.inrae.fr/hal..
 
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