Preliminary development of a Machine Vision for taxonomic classification of grain crops
Ameel, Shadow
Promotor(s) : Malumba Kamba, Paul
Date of defense : 22-Jan-2024 • Permalink : http://hdl.handle.net/2268.2/19427
Details
Title : | Preliminary development of a Machine Vision for taxonomic classification of grain crops |
Translated title : | [en] Preliminary development of a Machine Vision for taxonomic classification of grain crops |
Author : | Ameel, Shadow |
Date of defense : | 22-Jan-2024 |
Advisor(s) : | Malumba Kamba, Paul |
Committee's member(s) : | Blecker, Christophe
Purcaro, Giorgia Mercatoris, Benoît Delvigne, Frank Jacquet, Nicolas Malumba Kamba, Paul |
Language : | English |
Number of pages : | 58 |
Keywords : | [en] Machine Vision [en] Deep earning [en] Grain sorting |
Discipline(s) : | Life sciences > Food science |
Research unit : | TERRA, Gx-ABT |
Name of the research project : | Application of computer vision and machine learning techniques for the characterisation and classification of different classes of grain |
Target public : | Researchers Professionals of domain |
Institution(s) : | Université de Liège, Liège, Belgique |
Degree: | Master en bioingénieur : chimie et bioindustries, à finalité spécialisée |
Faculty: | Master thesis of the Gembloux Agro-Bio Tech (GxABT) |
Abstract
[en] Application of computer vision and machine learning techniques for the characterisation and classification of different classes of grain
File(s)
Document(s)
TFE Shadow Ameel_GxABT_Chimie et bio-industries.pdf
Description:
Size: 1.8 MB
Format: Adobe PDF
Description:
Size: 1.8 MB
Format: Adobe PDF
Cite this master thesis
All documents available on MatheO are protected by copyright and subject to the usual rules for fair use.
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.