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Poster communications

Capteurs et images aériennes pour l’évaluation du peuplement de mauvaises herbes

Abstract : AIRINOV is specialized in use of UAV for precision agriculture. Thanks to a high spatial resolution up to 1.5 cm/pixel in RGB images, discrimination between vegetation (crop row, weed) and soil can be done. Variability can be detected in weed density inside the whole field. The detection of weeds in the inter-row of hoed row crops was tested on RGB images. The methodology developed is based on Hough transform, and is composed of three main steps: image segmentation, soil/vegetation discrimination and crop rows localization. First results are promising but need complementary measures for validation.
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Poster communications
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https://hal.inrae.fr/hal-02749703
Contributor : Migration Prodinra <>
Submitted on : Wednesday, June 3, 2020 - 3:50:03 PM
Last modification on : Friday, June 12, 2020 - 10:43:26 AM

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  • HAL Id : hal-02749703, version 1
  • PRODINRA : 261561

Citation

Marine Louargant, Nathalie Vigneau, F. Mainfroy, Gawain Jones, Sylvain Villette, et al.. Capteurs et images aériennes pour l’évaluation du peuplement de mauvaises herbes. 22. Conférence du Columa, Journées internationales sur la lutte contre les mauvaises herbes, Dec 2013, Dijon, France. Association Française de Protection des Plantes, AFPP, Session : « Nuisibilité » - Session: « Weed competition », 11 p., 2013, 22e Conférence du COLUMA - Journées Internationales sur la lutte contre les mauvaises herbes. ⟨hal-02749703⟩

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