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

6533b7d7fe1ef96bd12681b4

RESEARCH PRODUCT

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

Marine Louargant Nathalie Vigneau Florent Mainfroy Gawain Jones Sylvain Villette Christelle Gée

subject

[SDE] Environmental Sciences [ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing Transformée de Hough [SDV]Life Sciences [q-bio][ SDV.SA.STA ] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture drone [SDV] Life Sciences [q-bio]images RGB THR [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing [SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture [SDE]Environmental Sciences [SDV.BV]Life Sciences [q-bio]/Vegetal Biology [SDV.BV] Life Sciences [q-bio]/Vegetal Biology adventices

description

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.

year	journal	country	edition	language
2013-12-10

https://hal-agrosup-dijon.archives-ouvertes.fr/hal-01744245

PEPhysical Sciences and Engineering
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