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Journal of Electronic Imaging

Development of a multispectral imagery device devoted to weed detection
Author(s): Jean-Baptiste Vioix; Jean-Paul Douzals; Frédéric Truchetet
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Paper Abstract

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.

Paper Details

Date Published: 1 July 2004
PDF: 6 pages
J. Electron. Imag. 13(3) doi: 10.1117/1.1760756
Published in: Journal of Electronic Imaging Volume 13, Issue 3
Show Author Affiliations
Jean-Baptiste Vioix, ENESAD (France)
Jean-Paul Douzals, ENESAD (France)
Frédéric Truchetet, Univ. de Bourgogne (France)

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