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  • Research Article
  • Open Access

Spatial and Spectral Methods for Weed Detection and Localization

  • 1Email author,
  • 1,
  • 2,
  • 3 and
  • 4
EURASIP Journal on Advances in Signal Processing20022002:793080

https://doi.org/10.1155/S1110865702204072

  • Received: 26 July 2001
  • Published:

Abstract

This study concerns the detection and localization of weed patches in order to improve the knowledge on weed-crop competition. A remote control aircraft provided with a camera allowed to obtain low cost and repetitive information. Different processings were involved to detect weed patches using spatial then spectral methods. First, a shift of colorimetric base allowed to separate the soil and plant pixels. Then, a specific algorithm including Gabor filter was applied to detect crop rows on the vegetation image. Weed patches were then deduced from the comparison of vegetation and crop images. Finally, the development of a multispectral acquisition device is introduced. First results for the discrimination of weeds and crops using the spectral properties are shown from laboratory tests. Application of neural networks were mostly studied.

Keywords

  • weed detection
  • spatial analysis
  • spectral analysis
  • Gabor filter
  • neural network
  • image processing

Authors’ Affiliations

(1)
UMR CPAP ENESAD CEMAGREF, 21, boulevard Olivier de Serres, Quetigny, 21800, France
(2)
Le2i, IUT Le Creusot, 12, rue de la Fonderie, Le Creusot, 71200, France
(3)
INRA, Unité de Malherbologie et Agronomie, BP 86510, Dijon, Cedex 21065, France
(4)
ENESAD laboratoire CBF, 21 boulevard Olivier de Serres, Quetigny, 21800, France

Copyright

© Vioix et al. 2002

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