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Chapitre D'ouvrage Année : 2015

Weed detection by aerial imaging: impact of soil, crop and weed spectral mixing

Sylvain Villette
Gawain Jones
Jean-Noël Paoli
N. Vigneau
  • Fonction : Auteur
Christelle Gée

Résumé

This study aims to evaluate spectral information potential of images captured with a UAV, for site specific weed management. The image acquisition chain was modeled in order to compute the digital values of image pixels, according to the field conditions and objects lying on the ground surface projected in the pixels. The object spectra are mixed in the same pixel to estimate the impact of the spatial resolution of the image. The classification potential into crop, weed and soil classes was studied usinf simulations based on the present multispectral sensor characteristics and according to different mixing rates.
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Dates et versions

hal-03334190 , version 1 (03-09-2021)

Identifiants

Citer

Marine Louargant, Sylvain Villette, Gawain Jones, Jean-Noël Paoli, N. Vigneau, et al.. Weed detection by aerial imaging: impact of soil, crop and weed spectral mixing. Precision agriculture '15, Wageningen Academic Publishers, pp.587-594, 2015, ⟨10.3920/978-90-8686-814-8_73⟩. ⟨hal-03334190⟩
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