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Gembloux Agro-Bio Tech (GxABT)
Gembloux Agro-Bio Tech (GxABT)
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Multi-temporal and and multispectral modeling of wheat crop parameters : Estimating within-field variability using UAV imagery

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Taconet, Julien ULiège
Promotor(s) : Brostaux, Yves ULiège
Date of defense : 4-Sep-2020 • Permalink : http://hdl.handle.net/2268.2/10543
Details
Title : Multi-temporal and and multispectral modeling of wheat crop parameters : Estimating within-field variability using UAV imagery
Author : Taconet, Julien ULiège
Date of defense  : 4-Sep-2020
Advisor(s) : Brostaux, Yves ULiège
Committee's member(s) : Dumont, Benjamin ULiège
De Clerck, Caroline ULiège
Michez, Adrien ULiège
Mercatoris, Benoît ULiège
Charles, Catherine ULiège
Language : English
Number of pages : 88
Keywords : [en] UAV
[en] Imagery
[en] Multi-temporal
[en] Multispectral
[en] wheat
[en] crop parameters
[en] Leaf Area Index
[en] ear dry mass
[en] LAI
[en] RandomForest
[en] modeling
[en] RGB
Discipline(s) : Life sciences > Agriculture & agronomy
Target public : Researchers
Student
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master en bioingénieur : sciences et technologies de l'environnement, à finalité spécialisée
Faculty: Master thesis of the Gembloux Agro-Bio Tech (GxABT)

Abstract

[en] This end of studies work focuses on modeling specific wheat crop parameters (Leaf Area Index, ear dry biomass) through multi-temporal and multispectral UAV imagery. These models have been successfully created and were used to map these parameters on the whole parcel, thus handing information on the within-field variability. Finally, these maps were used to propose new positions for experimental plots.


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  • Taconet, Julien ULiège Université de Liège > Gembloux Agro-Bio Tech

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  • Total number of views 40
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