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Use of NIR-HIS and dichotomist classification tree based on SVMDA models in order to discriminate roots and crop residues of winter wheat
Eylenbosch, Damien; Fernández Pierna, Juan Antonio; Baeten, Vincent et al.
2015In EARSeL 2015: 9th EARSeL SIG Imaging Spectroscopy workshop, Luxembourg 14-16 April 2015
 

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Keywords :
NIR Hyperspectral Imaging; Root; SVM; Crop residues
Disciplines :
Agriculture & agronomy
Space science, astronomy & astrophysics
Author, co-author :
Eylenbosch, Damien ;  Université de Liège > Sciences agronomiques > Phytotechnie des régions tempérées
Fernández Pierna, Juan Antonio;  Walloon Agricultural Research Centre, CRA-W > Valorisation of Agricultural Products Department > Food and Feed Quality Unit
Baeten, Vincent;  Walloon Agricultural Research Centre, CRA-W > Valorisation of Agricultural Products Department > Food and Feed Quality Unit
Bodson, Bernard ;  Université de Liège > Sciences agronomiques > Phytotechnie des régions tempérées
Language :
English
Title :
Use of NIR-HIS and dichotomist classification tree based on SVMDA models in order to discriminate roots and crop residues of winter wheat
Alternative titles :
[en] Utilisation de l'imagerie hyperspectrale proche infrarouge et d'un arbre de classification dichotomique basé sur SVM afin de discriminer des racines et des résidus de culture de froment d'hiver
Publication date :
14 April 2015
Event name :
9th EARSeL SIG Imaging Spectroscopy workshop
Event organizer :
European Association of Remote Sensing Laboratories
Event place :
Luxembourg, Luxembourg
Event date :
14-16 April 2015
Audience :
International
Main work title :
EARSeL 2015: 9th EARSeL SIG Imaging Spectroscopy workshop, Luxembourg 14-16 April 2015
Pages :
116
Available on ORBi :
since 29 May 2015

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