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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Submitted on : Tuesday, March 27, 2018 - 11:34:16 AM
Last modification on : Monday, July 16, 2018 - 3:10:02 PM

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  • HAL Id : hal-01744245, version 1

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Marine Louargant, Nathalie Vigneau, Florent 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. 2013, Book of abstracts. ⟨hal-01744245⟩

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