Master Thesis Online
Multi-temporal and and multispectral modeling of wheat crop parameters : Estimating within-field variability using UAV imagery
Taconet, Julien 
Promotor(s) :
Brostaux, Yves
Date of defense : 4-Sep-2020 • Permalink : http://hdl.handle.net/2268.2/10543
TFE_Julien_Taconet.pdfDetails
| Title : | Multi-temporal and and multispectral modeling of wheat crop parameters : Estimating within-field variability using UAV imagery |
| Author : | Taconet, Julien
|
| Date of defense : | 4-Sep-2020 |
| Advisor(s) : | Brostaux, Yves
|
| Committee's member(s) : | Dumont, Benjamin
De Clerck, Caroline
Michez, Adrien
Mercatoris, Benoît
Charles, Catherine
|
| 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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