Article (Scientific journals)
Selection of the most efficient wavelength bands for discriminating weeds from crop
Piron, Alexis; Leemans, Vincent; Kleynen, O. et al.
2008In Computers and Electronics in Agriculture, 62 (2), p. 141-148
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Keywords :
multispectral imaging; wavelength selection; weeds; crop
Abstract :
[en] The aim of this study was to select the best combination of filters for detecting various weed species located within carrot rows. In-field images were taken under artificial lighting with a multispectral device consisting of a black and white camera coupled with a rotating wheel holding 22 interference filters in the VIS-NIR domain. Measurements were performed over a period of 19 days, starting 1 week after crop emergence (early weeding can increase yields) and seven different weeds species were considered. The selection of the best filter combination was based on a quadratic discriminant analysis. The best combination of filters included three interference filters, respectively centred on 450, 550 and 700 nm. With this combination, the overall classification accuracy (CA) was 72%. When using only two filters, a slight degradation of the CA was noticed. When the classification results were reported on field images, a systematic misclassification of carrot cotyledons appears. Better results were obtained with a more advanced growth stage. (c) 2007 Elsevier B.V. All rights reserved.
Disciplines :
Computer science
Agriculture & agronomy
Author, co-author :
Piron, Alexis ;  Université de Liège - ULiège > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech
Leemans, Vincent ;  Université de Liège - ULiège > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech
Kleynen, O.;  Faculté Universitaire des Sciences Agronomiques de Gembloux - FUSAGx > Mécanique et Construction
Lebeau, Frédéric  ;  Université de Liège - ULiège > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech
Destain, Marie-France ;  Université de Liège - ULiège > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech
Language :
English
Title :
Selection of the most efficient wavelength bands for discriminating weeds from crop
Publication date :
2008
Journal title :
Computers and Electronics in Agriculture
ISSN :
0168-1699
eISSN :
1872-7107
Publisher :
Elsevier Science
Volume :
62
Issue :
2
Pages :
141-148
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 10 August 2009

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