NDLI: Validation of a virtual agronomic image modelling

Content Provider	IEEE Xplore Digital Library
Author	Jones, G. Gée, C. Villette, S. Truchetet, F.
Copyright Year	2010
Description	Author affiliation: AgroSup Dijon, 21000, France (Jones, G.; Gée, C.; Villette, S.) \|\| Le2i, UMR 5158 uB-CNRS, 12 rue de la Fonderie, 71200 Le Creusot, France (Truchetet, F.)
Abstract	In Precision Agriculture, remote sensors such as imaging systems are commonly used to manage site-specific weeds. Although there are several algorithms using spatial information, few tests proving their efficiency have been performed on relevant database. In this paper we propose an innovative approach based on a simple model that simulates virtual crops to evaluate the robustness and efficiency of any crop/weed discrimination algorithm. A two-dimensional statistical and spatial crop field model is presented: it allows the design of virtual crops with given characteristics (plant size, inter-row width…) for various species (wheat, sunflower, maize…). The Weed Infestation Rate is set on demand at three different spatial distributions (point, aggregate, or a mixture) providing the diversity of the resulting simulated field. The spatial realism of the model is validated by two spatial descriptors (nearest neighbor method and Besag's function) at different scales through a pair of real/virtual pictures.
Starting Page	517
Ending Page	520
File Size	798120
Page Count	4
File Format	PDF
ISBN	9781424472475
ISSN	2154512X
e-ISBN	9781424472499
DOI	10.1109/IPTA.2010.5586743
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-07
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological system modeling Aggregates Adaptation model Cameras Agriculture Data models Pixel
Content Type	Text
Resource Type	Article

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