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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 18, Iss. 10 — May. 10, 2010
  • pp: 10694–10703

Validation of a crop field modeling to simulate agronomic images

Gawain Jones, Christelle Gée, Sylvain Villette, and Frédéric Truchetet  »View Author Affiliations

Optics Express, Vol. 18, Issue 10, pp. 10694-10703 (2010)

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In precision agriculture, crop/weed discrimination is often based on image analysis but though several algorithms using spatial information have been proposed, not any has been tested on relevant databases. A simple model that simulates virtual fields is developed to evaluate these algorithms. Virtual fields are made of crops, arranged according to agricultural practices and represented by simple patterns, and weeds that are spatially distributed using a statistical approach. It ensures a user-defined Weed Infestation Rate (WIR). Then, experimental devices using cameras are simulated with a pinhole model. Its ability to characterize the spatial reality is demonstrated through different pairs (real, virtual) of pictures. Two spatial descriptors (nearest neighbor method and Besag’s function) have been set up and tested to validate the spatial realism of the crop field model, comparing a real image to the homologous virtual one.

© 2010 OSA

OCIS Codes
(200.4740) Optics in computing : Optical processing
(330.4060) Vision, color, and visual optics : Vision modeling
(330.6100) Vision, color, and visual optics : Spatial discrimination
(330.7326) Vision, color, and visual optics : Visual optics, modeling

ToC Category:
Image Processing

Original Manuscript: December 2, 2009
Revised Manuscript: March 3, 2010
Manuscript Accepted: March 11, 2010
Published: May 7, 2010

Gawain Jones, Christelle Gée, Sylvain Villette, and Frédéric Truchetet, "Validation of a crop field modeling to simulate agronomic images," Opt. Express 18, 10694-10703 (2010)

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