Special Section on Quality Control by Artificial Vision

Development of a multispectral imagery device devoted to weed detection

[+] Author Affiliations
Jean-Baptiste Vioix, Jean-Paul Douzals

ENESAD, 21 Bd Olivier de Serres, F-21800?Quetigny, France E-mail: jb.vioix@enesad.fr

Fre´de´ric Truchetet

LE2I, 12 rue de la Fonderie, F-71200?Le Creusot, France

J. Electron. Imaging. 13(3), 547-552 (Jul 01, 2004). doi:10.1117/1.1760756
History: Received Aug. 1, 2003; Accepted Mar. 1, 2004; Online July 29, 2004
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Multispectral imagery is a large domain with a number of practical applications: thermography and quality control in industry, food science, and agronomy. The main interest is to obtain spectral information of the objects for which a reflectance signal can be associated to physical, chemical, and/or biological properties. Agronomic applications of multispectral imagery generally involve the acquisition of several images in visible and near infrared wavelengths. We first present a different kind of multispectral devices used for agronomic applications and then introduce an original multispectral acquisition system based on a single CCD. First results in laboratory are detailed, presenting a detection method using a neural network and in-field acquisitions and their results are shown. To improve the quality of weed detection, the spatial distribution of crops is used by a second method. Finally, the first works on merging are outlined. © 2004 SPIE and IS&T.

© 2004 SPIE and IS&T

Citation

Jean-Baptiste Vioix ; Jean-Paul Douzals and Fre´de´ric Truchetet
"Development of a multispectral imagery device devoted to weed detection", J. Electron. Imaging. 13(3), 547-552 (Jul 01, 2004). ; http://dx.doi.org/10.1117/1.1760756


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